1 00:00:01,360 --> 00:00:05,680 Speaker 1: This is Bloomberg Business. Wait inside from the reporters and 2 00:00:05,880 --> 00:00:09,440 Speaker 1: editors who bring you America's most trusted business magazine, plus 3 00:00:09,520 --> 00:00:13,680 Speaker 1: global business finance and tech news. The Bloomberg Business Week 4 00:00:13,720 --> 00:00:27,120 Speaker 1: Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio. 5 00:00:30,720 --> 00:00:33,159 Speaker 2: Jam in a little pop pana talk Man, I love 6 00:00:33,200 --> 00:00:35,080 Speaker 2: that song. Kind of takes me back. 7 00:00:35,440 --> 00:00:37,760 Speaker 3: You are listening and watching Bloomberg Business Week and talking 8 00:00:37,800 --> 00:00:39,240 Speaker 3: about hitting. 9 00:00:39,200 --> 00:00:40,000 Speaker 2: With your best shot. 10 00:00:40,120 --> 00:00:45,040 Speaker 3: I feel like, man, the jobs report this morning just 11 00:00:45,440 --> 00:00:46,800 Speaker 3: kind of firing on all cylinders. 12 00:00:46,800 --> 00:00:48,200 Speaker 4: Would you call it a Goldilocks report? 13 00:00:48,320 --> 00:00:49,159 Speaker 2: Well, exactly like. 14 00:00:49,200 --> 00:00:51,360 Speaker 3: I feel like it kind of checked all the boxes 15 00:00:51,360 --> 00:00:53,080 Speaker 3: that the Fed needed to do. And so let's just 16 00:00:53,120 --> 00:00:55,639 Speaker 3: get right to it. Because our own Molly Smith, she's 17 00:00:55,640 --> 00:00:58,200 Speaker 3: Bloomberg News Economics editor. She's a fan of tennis, and 18 00:00:58,240 --> 00:00:59,720 Speaker 3: we're going to talk about that in just a moment. 19 00:01:00,040 --> 00:01:02,400 Speaker 4: We think she's actually off today, Are you off? 20 00:01:02,520 --> 00:01:05,480 Speaker 5: No, I've worked. I actually went on the Bloomberg Markets 21 00:01:05,480 --> 00:01:08,280 Speaker 5: Show this morning and they said that for every time 22 00:01:08,360 --> 00:01:11,280 Speaker 5: someone mentioned it was a Goldilocks report, that added to 23 00:01:11,319 --> 00:01:14,720 Speaker 5: the shot counts. So in case anybody is keeping track. 24 00:01:14,760 --> 00:01:17,840 Speaker 4: It's like it's a sip of honey for you, I. 25 00:01:17,840 --> 00:01:18,400 Speaker 5: Will take that. 26 00:01:18,520 --> 00:01:20,880 Speaker 3: It's like the AI shot game and then the Goldilocks 27 00:01:20,920 --> 00:01:24,680 Speaker 3: economy shot game. Let's talk though the jobs report and 28 00:01:24,720 --> 00:01:26,640 Speaker 3: we say goldilocks because it kind of right. 29 00:01:27,120 --> 00:01:30,480 Speaker 2: It's not falling apart, but it's easing. So walk us 30 00:01:30,480 --> 00:01:31,400 Speaker 2: through it. What was important? 31 00:01:31,440 --> 00:01:33,200 Speaker 5: No, I think that's exactly the way that we've been 32 00:01:33,240 --> 00:01:36,480 Speaker 5: describing it to just like this. Actually, my editor came 33 00:01:36,560 --> 00:01:38,320 Speaker 5: up with us when I really like this a controlled 34 00:01:38,400 --> 00:01:41,920 Speaker 5: cooling of the job market. Yeah, so we've got a 35 00:01:41,959 --> 00:01:44,840 Speaker 5: moderation in hiring, which has been the continuing trend. And 36 00:01:45,680 --> 00:01:47,600 Speaker 5: I wouldn't be surprised to see if the print that 37 00:01:47,640 --> 00:01:50,120 Speaker 5: came in today was revised lower a month later, because 38 00:01:50,120 --> 00:01:52,360 Speaker 5: that seems to be happening just about every month that 39 00:01:52,400 --> 00:01:55,360 Speaker 5: we get a jobs report. We also saw slowly wage 40 00:01:55,360 --> 00:01:57,800 Speaker 5: gains and higher unemployment rate, but for what we would 41 00:01:57,840 --> 00:02:01,040 Speaker 5: call a quote good reason, because it reflected more people 42 00:02:01,080 --> 00:02:04,120 Speaker 5: coming into the labor force, so greater participation is. 43 00:02:04,200 --> 00:02:06,680 Speaker 4: You know, I heard Mike McKee, International Economics and Policy 44 00:02:06,680 --> 00:02:10,160 Speaker 4: correspondent on Surveillance talking about this this morning. The bankruptcy 45 00:02:10,200 --> 00:02:13,200 Speaker 4: of the Yellow Trucking Company thirty thousand jobs not included 46 00:02:13,520 --> 00:02:15,760 Speaker 4: in this month's report as a result of what we 47 00:02:15,800 --> 00:02:19,079 Speaker 4: saw there, how should we read into those one off scenarios, 48 00:02:19,120 --> 00:02:22,560 Speaker 4: because when we learned of Yellows bankruptcy, we also knew 49 00:02:22,919 --> 00:02:25,920 Speaker 4: that thanks to the economic data, there are a lot 50 00:02:25,919 --> 00:02:28,800 Speaker 4: of trucking jobs out there, or these uneployed truckers to 51 00:02:28,840 --> 00:02:29,560 Speaker 4: go get they. 52 00:02:29,480 --> 00:02:32,200 Speaker 5: Very well could have been scooped up already. And you know, 53 00:02:32,320 --> 00:02:34,480 Speaker 5: speaking of one officer, I mean it's hard to tell. 54 00:02:34,520 --> 00:02:37,680 Speaker 5: But how however long the Hollywood strikes are going to continue. 55 00:02:37,680 --> 00:02:40,320 Speaker 5: That also subtracted from payrolls quite a bit, so that 56 00:02:40,400 --> 00:02:43,400 Speaker 5: one eighty seven thousand number for the added jobs in 57 00:02:43,440 --> 00:02:45,600 Speaker 5: the month would have been even stronger if not for 58 00:02:46,000 --> 00:02:49,359 Speaker 5: the effect of those two events. Yeah, I mean, it's 59 00:02:49,480 --> 00:02:53,600 Speaker 5: it's we saw really a pretty broadcase, broad based gain, 60 00:02:54,080 --> 00:02:58,160 Speaker 5: especially though in the service producing industries, in healthcare and 61 00:02:58,240 --> 00:02:59,840 Speaker 5: you know some of these industries where we've had a 62 00:02:59,840 --> 00:03:02,000 Speaker 5: lot a lot of those labor shortages. So still continuing 63 00:03:02,000 --> 00:03:03,360 Speaker 5: to climb back, which is a good sign. 64 00:03:03,440 --> 00:03:05,800 Speaker 3: What I thought was really wild and cool and interesting 65 00:03:05,880 --> 00:03:08,200 Speaker 3: is people coming back to the workforce, right the labor 66 00:03:08,240 --> 00:03:10,400 Speaker 3: participation rate and also what they talked about, was it 67 00:03:10,560 --> 00:03:13,440 Speaker 3: the participation rate for prime age workers in terms of 68 00:03:13,480 --> 00:03:16,000 Speaker 3: it rebounding, That to me is significant. The people on 69 00:03:16,040 --> 00:03:18,000 Speaker 3: the sidelines who were like, I'm out are all a 70 00:03:18,000 --> 00:03:18,600 Speaker 3: sudden back in. 71 00:03:18,720 --> 00:03:20,640 Speaker 5: Yeah, it took them some time. I don't know what 72 00:03:20,680 --> 00:03:23,400 Speaker 5: these people have been doing, and we've all obviously been working, 73 00:03:23,480 --> 00:03:26,160 Speaker 5: but they're back now, and a lot of them are 74 00:03:26,160 --> 00:03:28,480 Speaker 5: back so and that's really helping to ease the wage 75 00:03:28,520 --> 00:03:31,920 Speaker 5: pressure picture a lot so more of the when we 76 00:03:31,960 --> 00:03:34,520 Speaker 5: hear supply and demand of labor coming back into balance, 77 00:03:34,560 --> 00:03:35,640 Speaker 5: that's where you see it happening. 78 00:03:35,840 --> 00:03:37,680 Speaker 4: So if you're a Federal Reserve Chair J. Powell and 79 00:03:37,680 --> 00:03:39,920 Speaker 4: you're sitting there at your Bloomberg terminal at eight twenty 80 00:03:40,000 --> 00:03:44,200 Speaker 4: nine fifty nine this morning, waiting for those prayers, saying 81 00:03:44,240 --> 00:03:46,080 Speaker 4: your prayers, waiting for those numbers to come. 82 00:03:45,960 --> 00:03:48,520 Speaker 2: Across A thirty twenty nine, he is like, I'm out 83 00:03:48,560 --> 00:03:49,040 Speaker 2: to the beach. 84 00:03:49,160 --> 00:03:51,000 Speaker 5: I'm good here today. 85 00:03:51,080 --> 00:03:53,000 Speaker 4: These numbers hit. What are you thinking? 86 00:03:53,720 --> 00:03:55,840 Speaker 5: I think it's just I don't know what more you 87 00:03:55,840 --> 00:03:58,600 Speaker 5: could really ask for. You know, this is like showing 88 00:03:58,680 --> 00:04:01,600 Speaker 5: exactly the soft landing case that he's been preaching would 89 00:04:01,640 --> 00:04:04,040 Speaker 5: be possible and would have has been his base case 90 00:04:04,080 --> 00:04:07,600 Speaker 5: all along. So I mean I'm obviously, you know, you 91 00:04:07,600 --> 00:04:09,440 Speaker 5: can't take too much of a victory lab and they're 92 00:04:09,480 --> 00:04:11,560 Speaker 5: going to be careful not to. But we'll hear from 93 00:04:11,600 --> 00:04:15,760 Speaker 5: more FED speakers next week and then predictably, the call 94 00:04:15,840 --> 00:04:17,719 Speaker 5: right now is that the September decision is going to 95 00:04:17,720 --> 00:04:18,920 Speaker 5: be to leave rates unchanged. 96 00:04:18,960 --> 00:04:20,560 Speaker 3: Help me, though, because I'm looking at a two year 97 00:04:20,640 --> 00:04:23,640 Speaker 3: note that definitely popped up right. There's my charts all 98 00:04:23,640 --> 00:04:25,200 Speaker 3: along the Yelk curve, the five and the two and 99 00:04:25,279 --> 00:04:27,120 Speaker 3: the two year wented a yield to four point eighty six. 100 00:04:27,120 --> 00:04:29,560 Speaker 3: I've got a ten yere at four one sixty seven, 101 00:04:29,760 --> 00:04:31,640 Speaker 3: and we definitely did see a bit of a pop 102 00:04:31,640 --> 00:04:35,159 Speaker 3: in the equities and they pulled off the higher rate moves, though, 103 00:04:35,440 --> 00:04:36,560 Speaker 3: is telling. 104 00:04:36,320 --> 00:04:38,760 Speaker 5: Us what I mean? I think that you still have 105 00:04:38,800 --> 00:04:42,320 Speaker 5: November on the table. That's you can't be ruled out. Jamie. 106 00:04:42,360 --> 00:04:45,039 Speaker 5: That very clear at Jackson Hole last week that they 107 00:04:45,720 --> 00:04:47,719 Speaker 5: have to keep their options open. And I think most 108 00:04:47,720 --> 00:04:50,480 Speaker 5: economists right now would tell you that November is very 109 00:04:50,560 --> 00:04:53,440 Speaker 5: much a live meeting, even though September more or less 110 00:04:53,440 --> 00:04:55,400 Speaker 5: seems locked in to hold steady and. 111 00:04:55,320 --> 00:04:57,440 Speaker 3: In terms of the market pricing and rate cuts for 112 00:04:57,560 --> 00:04:58,920 Speaker 3: next year, still happening. 113 00:04:59,760 --> 00:05:03,200 Speaker 5: Maybe be a bit less so, but yeah, I mean 114 00:05:03,240 --> 00:05:06,600 Speaker 5: the moves today just very much showing September being unchanged 115 00:05:06,680 --> 00:05:08,799 Speaker 5: pretty solid before you, Maerica. 116 00:05:09,000 --> 00:05:11,400 Speaker 4: One more, okay, hire for longer? How long? How long 117 00:05:11,440 --> 00:05:11,960 Speaker 4: does that mean? 118 00:05:12,400 --> 00:05:14,800 Speaker 5: Don't we all want to know? Tim? If I need 119 00:05:14,920 --> 00:05:16,320 Speaker 5: answer to that, I wouldn't be sitting here. 120 00:05:16,400 --> 00:05:17,320 Speaker 2: No, actually. 121 00:05:19,040 --> 00:05:22,400 Speaker 3: She would be here, she wouldn't be talking to She 122 00:05:22,440 --> 00:05:23,799 Speaker 3: would actually be like a box. 123 00:05:24,000 --> 00:05:24,120 Speaker 6: Right. 124 00:05:24,960 --> 00:05:26,560 Speaker 4: The President's the President's suite. 125 00:05:26,839 --> 00:05:27,640 Speaker 5: That sounds nice. 126 00:05:27,640 --> 00:05:29,680 Speaker 3: One more just to attack on to Tim, what's the 127 00:05:29,720 --> 00:05:31,760 Speaker 3: next focal point in terms of economic data points? 128 00:05:32,040 --> 00:05:35,040 Speaker 5: Oh goodness, not a whole lot going on next week. 129 00:05:35,080 --> 00:05:37,760 Speaker 5: It's really more in the FED speaker front, so hearing 130 00:05:37,800 --> 00:05:39,599 Speaker 5: from a few of them next week, and then they're 131 00:05:39,600 --> 00:05:43,520 Speaker 5: in blackout before the September fo MC meeting. So it 132 00:05:43,560 --> 00:05:46,640 Speaker 5: would be interesting to see just you know, we've seen 133 00:05:46,640 --> 00:05:49,120 Speaker 5: some of these factions coming about in the committee of 134 00:05:49,120 --> 00:05:51,160 Speaker 5: like where the doves are, where the hawks are, how 135 00:05:51,200 --> 00:05:54,560 Speaker 5: people are interpreting the data. So we'll give it a 136 00:05:54,640 --> 00:05:59,360 Speaker 5: nice clear picture next week of like where everyone stands. 137 00:06:00,440 --> 00:06:04,000 Speaker 4: Oh okay, well, Molly, I mean fifty weeks a year, 138 00:06:04,200 --> 00:06:05,840 Speaker 4: you know, I see you around the office, and we're 139 00:06:05,880 --> 00:06:09,040 Speaker 4: just basically we're just doing a countdown to these two weeks. Yes, 140 00:06:09,640 --> 00:06:12,440 Speaker 4: you told me before the show, this has been like 141 00:06:12,480 --> 00:06:14,880 Speaker 4: the best week of your life running around the US Open. 142 00:06:15,400 --> 00:06:17,640 Speaker 4: What have you seen? What are you excited to see tonight? 143 00:06:17,920 --> 00:06:19,880 Speaker 4: Who's on your who's on your list of winners? 144 00:06:19,920 --> 00:06:21,960 Speaker 5: I really have had the best week. Nothing can take 145 00:06:22,000 --> 00:06:23,839 Speaker 5: away from this. Have been absolutely glowing. 146 00:06:24,640 --> 00:06:26,520 Speaker 2: So do you love the sport? 147 00:06:26,680 --> 00:06:29,839 Speaker 5: I do. I've played forever. I used to teach I watch. 148 00:06:29,880 --> 00:06:31,560 Speaker 5: I mean, the reason why I got into journalism. I 149 00:06:31,680 --> 00:06:33,800 Speaker 5: was hoping to be a tennis commentator more so than 150 00:06:33,839 --> 00:06:37,000 Speaker 5: an economy one. But I've got a nice. 151 00:06:36,839 --> 00:06:38,400 Speaker 4: Come all right, we'll be right now. We got about 152 00:06:38,440 --> 00:06:40,280 Speaker 4: seven minutes where you can be a tennis commentator. 153 00:06:40,360 --> 00:06:43,640 Speaker 5: Right now, we'll waste it, Okay. I just came from 154 00:06:43,720 --> 00:06:46,160 Speaker 5: before I came over here was watching the top men's 155 00:06:46,200 --> 00:06:49,360 Speaker 5: doubles team in the world. I think they're doing well 156 00:06:49,440 --> 00:06:52,679 Speaker 5: up in the third set right now. This is Neil 157 00:06:53,279 --> 00:06:56,680 Speaker 5: Scubsky and cool and Woolcough. Those are the two names 158 00:06:56,680 --> 00:06:58,520 Speaker 5: sometimes I get tripped up on. But they're playing a 159 00:06:58,520 --> 00:07:01,279 Speaker 5: Colombian team and it is fiery in there. Some of 160 00:07:01,320 --> 00:07:04,520 Speaker 5: the South American crowds. You know it is a Seahart 161 00:07:04,520 --> 00:07:08,800 Speaker 5: producer right now, he's pomped. It is crazy. I think 162 00:07:08,920 --> 00:07:12,560 Speaker 5: the best match I've probably ever seen in my twenty 163 00:07:12,600 --> 00:07:14,720 Speaker 5: something years of coming to the US Open might have 164 00:07:14,840 --> 00:07:18,280 Speaker 5: been yesterday when I watched a Brazilian woman play an 165 00:07:18,320 --> 00:07:21,880 Speaker 5: American woman in the singles on Court seventeen, which is 166 00:07:21,920 --> 00:07:24,320 Speaker 5: one of the smaller stadium courts. But the atmosphere is 167 00:07:24,480 --> 00:07:27,920 Speaker 5: electric and you better believe the Brazilians were there in force. 168 00:07:28,040 --> 00:07:31,560 Speaker 5: Obviously the Americans were as well. It was fire. This 169 00:07:31,680 --> 00:07:34,040 Speaker 5: was Taylor Townsend and Beatrice Hadadmia. 170 00:07:33,720 --> 00:07:37,840 Speaker 3: Fire meaning what the strength, the force, the power, what 171 00:07:38,120 --> 00:07:40,480 Speaker 3: I mean, the sheer game of course, the shop making 172 00:07:41,080 --> 00:07:43,640 Speaker 3: also really rare to see two lefties going at it, 173 00:07:43,960 --> 00:07:46,160 Speaker 3: so that was a lot of fun and just you know, 174 00:07:46,200 --> 00:07:48,000 Speaker 3: I think it also for a lot of people who 175 00:07:48,080 --> 00:07:50,720 Speaker 3: come here and maybe you're not really familiar with tennis, 176 00:07:50,760 --> 00:07:52,560 Speaker 3: you don't watch it the rest of the fifty weeks 177 00:07:52,600 --> 00:07:54,400 Speaker 3: of the year, like I do, you think of it 178 00:07:54,400 --> 00:07:56,640 Speaker 3: as maybe a more quote gentlemanly sport. 179 00:07:56,760 --> 00:07:59,640 Speaker 5: You know, it's quiet, the little golf clap. This was 180 00:08:00,200 --> 00:08:03,160 Speaker 5: like a soccer match or football, but you know it was. 181 00:08:03,480 --> 00:08:05,720 Speaker 5: It was insane in there, like the people were out 182 00:08:05,720 --> 00:08:07,960 Speaker 5: on their up, on their feet after every point. 183 00:08:08,000 --> 00:08:09,840 Speaker 4: Do you like the first week or the second week better? 184 00:08:09,880 --> 00:08:10,240 Speaker 5: First? 185 00:08:10,400 --> 00:08:13,160 Speaker 4: I do too well, doubtedly, because I mean I think 186 00:08:13,200 --> 00:08:16,000 Speaker 4: the biggest secret of coming to the US Open is 187 00:08:16,040 --> 00:08:18,920 Speaker 4: like stay out of ash, yes, and just go around 188 00:08:18,960 --> 00:08:21,160 Speaker 4: to the courts. The outside courts, you see the best 189 00:08:21,200 --> 00:08:22,960 Speaker 4: tennis players in the world. You can get up close 190 00:08:23,000 --> 00:08:25,600 Speaker 4: to them. Sometimes you walk up to courts people are 191 00:08:25,640 --> 00:08:27,200 Speaker 4: in a third set or a fifth set, You've never 192 00:08:27,240 --> 00:08:29,040 Speaker 4: heard of them, and you literally get to be in 193 00:08:29,080 --> 00:08:31,720 Speaker 4: the front row and see the best tennis you've ever seen. 194 00:08:31,760 --> 00:08:33,440 Speaker 3: Which speaks to what we talked about with the team 195 00:08:33,480 --> 00:08:35,319 Speaker 3: over at ay IBM in terms of what they are 196 00:08:35,320 --> 00:08:38,040 Speaker 3: doing is a lot of the other courts don't get 197 00:08:38,040 --> 00:08:40,120 Speaker 3: a lot of attention, but they're taking now the footage 198 00:08:40,400 --> 00:08:44,199 Speaker 3: and they're creating AI generated commentary and that they're finding 199 00:08:44,360 --> 00:08:46,840 Speaker 3: people want that, they want to know what's going on 200 00:08:46,640 --> 00:08:48,240 Speaker 3: and on some of the other courts around here. 201 00:08:48,360 --> 00:08:51,120 Speaker 5: I think what a lot of casual tennis fans probably 202 00:08:51,160 --> 00:08:54,320 Speaker 5: also don't have a great grasp of is just how 203 00:08:54,360 --> 00:08:56,720 Speaker 5: good you have to be to part of my language, 204 00:08:56,720 --> 00:08:59,000 Speaker 5: but suck at the US Open. Like, if you're a 205 00:08:59,080 --> 00:09:01,840 Speaker 5: singles player and you lose in the first round, you 206 00:09:02,000 --> 00:09:04,120 Speaker 5: still were among the top one hundred and twenty eight 207 00:09:04,120 --> 00:09:05,840 Speaker 5: players in the world. A lot of them had to 208 00:09:05,880 --> 00:09:08,040 Speaker 5: go through several rounds of qualifying to get in there. 209 00:09:08,200 --> 00:09:10,599 Speaker 5: You're still going to see amazing tennis. And it's a 210 00:09:10,640 --> 00:09:12,560 Speaker 5: lot better than, like you said, Tim going into ash 211 00:09:12,600 --> 00:09:14,160 Speaker 5: and seeing a blowout in the first week. 212 00:09:14,280 --> 00:09:16,840 Speaker 3: Can we talk women, yes, because now that all right, 213 00:09:16,960 --> 00:09:19,479 Speaker 3: Venus was here but she's out unfortunately. 214 00:09:19,880 --> 00:09:21,440 Speaker 2: And then Serena we know not here. 215 00:09:22,480 --> 00:09:24,880 Speaker 3: I think I saw her last match last year, but 216 00:09:24,960 --> 00:09:27,520 Speaker 3: we never know right whether or not she could come back. 217 00:09:27,640 --> 00:09:30,160 Speaker 5: Serene Aving, Yeah, I don't know. She's had her second kid. 218 00:09:30,160 --> 00:09:30,720 Speaker 5: A couple of weeks. 219 00:09:30,840 --> 00:09:32,680 Speaker 3: She did just have her second kid. What are we 220 00:09:32,760 --> 00:09:35,080 Speaker 3: looking forward to in terms of the next generation when 221 00:09:35,120 --> 00:09:36,480 Speaker 3: it comes to women, We know that there's already a 222 00:09:36,480 --> 00:09:37,199 Speaker 3: few names out there. 223 00:09:37,320 --> 00:09:40,120 Speaker 5: Yeah, I mean, I think like there's it's really never 224 00:09:40,160 --> 00:09:42,040 Speaker 5: been a better time in recent years to be a 225 00:09:42,040 --> 00:09:44,920 Speaker 5: fan of Americans tennis, and the women are really doing 226 00:09:44,960 --> 00:09:46,400 Speaker 5: so well on the front of the men as well. 227 00:09:46,400 --> 00:09:49,520 Speaker 5: But I'm really excited about Cocoa Goff and Jess Pigula 228 00:09:49,679 --> 00:09:52,360 Speaker 5: like everyone else. I saw them play in doubles together 229 00:09:52,440 --> 00:09:54,320 Speaker 5: the other day. Actually, I think they were the only 230 00:09:54,320 --> 00:09:56,000 Speaker 5: players in the world right now where we are top 231 00:09:56,040 --> 00:09:59,400 Speaker 5: ten in singles and doubles. Each of them really impressive, 232 00:09:59,480 --> 00:10:02,400 Speaker 5: not easy to do. So they are really just like 233 00:10:02,520 --> 00:10:04,960 Speaker 5: riding a ton of momentum from the summer hardcore season 234 00:10:04,960 --> 00:10:08,959 Speaker 5: into the US Open. The other top three seeds are 235 00:10:08,960 --> 00:10:11,920 Speaker 5: also doing incredibly well on the single side, so it's 236 00:10:11,920 --> 00:10:14,280 Speaker 5: not I haven't been too many big upsets yet. I 237 00:10:14,280 --> 00:10:17,120 Speaker 5: think most of the women are really it's it's been 238 00:10:17,120 --> 00:10:18,959 Speaker 5: a I'm just having a. 239 00:10:18,880 --> 00:10:21,800 Speaker 4: Blast watching them, you know, it's pretty amazing. You mentioned 240 00:10:21,840 --> 00:10:23,959 Speaker 4: Jess Pagoula, she's also doing mixed doubles. Like, she's not 241 00:10:24,000 --> 00:10:26,599 Speaker 4: playing mixed doubles today. She like, wait, wasn't she just 242 00:10:26,640 --> 00:10:29,080 Speaker 4: playing last night? And ash, why is she out here today? 243 00:10:29,120 --> 00:10:31,559 Speaker 4: And then I saw it was mixed doubles. She's doing everything. 244 00:10:31,880 --> 00:10:35,240 Speaker 5: Yeah, and you know some players do that. It's I think, 245 00:10:35,280 --> 00:10:37,120 Speaker 5: you know, I've listened to what some of the commentators 246 00:10:37,120 --> 00:10:39,000 Speaker 5: have to say about it. A lot of them will 247 00:10:39,040 --> 00:10:41,280 Speaker 5: tell you, you know, like great to play doubles, you know, 248 00:10:41,360 --> 00:10:43,360 Speaker 5: really helps your singles game gets you at the net 249 00:10:43,360 --> 00:10:46,200 Speaker 5: a lot more your reaction time, just getting more reps 250 00:10:46,200 --> 00:10:48,959 Speaker 5: in in general, but the mixed being maybe that's a 251 00:10:48,960 --> 00:10:51,400 Speaker 5: little too much, especially if you're a serious contender in 252 00:10:51,440 --> 00:10:53,480 Speaker 5: the second week of the singles draw. 253 00:10:53,600 --> 00:10:55,640 Speaker 4: But the problem is here in New York, some of 254 00:10:55,640 --> 00:10:57,960 Speaker 4: these matches don't end until one or two in the morning, right, 255 00:10:58,000 --> 00:11:00,240 Speaker 4: and then you're you're the problem for the player, and 256 00:11:00,520 --> 00:11:03,360 Speaker 4: it's right for the tame and some of those players 257 00:11:03,360 --> 00:11:05,040 Speaker 4: if they have a doubles or a mixed doubles match 258 00:11:05,080 --> 00:11:05,679 Speaker 4: the next two day. 259 00:11:06,160 --> 00:11:08,240 Speaker 5: Ben Sholton today too, doing a doubleheader. 260 00:11:08,280 --> 00:11:10,600 Speaker 2: It's pretty incredible. How old are these guys are? They're young? 261 00:11:10,760 --> 00:11:13,480 Speaker 5: Oh yeah, Ben's twenty, so you. 262 00:11:13,440 --> 00:11:13,800 Speaker 2: Can do that. 263 00:11:13,840 --> 00:11:18,200 Speaker 5: Remember doing all nighters getting out the same thing is twenty, 264 00:11:18,640 --> 00:11:21,439 Speaker 5: Jess is twenty seven, Cocos nineteen, we bet it. 265 00:11:21,520 --> 00:11:24,200 Speaker 3: Serena having her second baby. There is this trend and 266 00:11:24,240 --> 00:11:26,120 Speaker 3: you write about it too. Have these women who've had 267 00:11:26,160 --> 00:11:27,440 Speaker 3: babies and they're coming back. 268 00:11:27,640 --> 00:11:29,920 Speaker 5: I think it's great. Hopefully you know we're seeing that. 269 00:11:30,000 --> 00:11:32,720 Speaker 5: Also to tie in the economy angle, my boss would 270 00:11:32,720 --> 00:11:36,079 Speaker 5: love that in the women's participation rate, that more women 271 00:11:36,360 --> 00:11:39,360 Speaker 5: coming back to work as well, so obviously this kind 272 00:11:39,360 --> 00:11:42,520 Speaker 5: of work being much more demanding after you've gone through labor. 273 00:11:43,160 --> 00:11:47,439 Speaker 5: But it's it's amazing to see Carolyn Woziaki, he's playing tonight. 274 00:11:48,040 --> 00:11:51,200 Speaker 5: Alina Spidelina is still alive. It's it's amazing. 275 00:11:51,559 --> 00:11:54,120 Speaker 4: Yeah. Wassniyaki's match earlier this week was amazing. 276 00:11:54,240 --> 00:11:56,800 Speaker 5: Yeah, to see her beat Patrick kavittov A, you know, 277 00:11:56,840 --> 00:12:00,680 Speaker 5: a top ten or so player in straight sets. I 278 00:12:00,720 --> 00:12:03,720 Speaker 5: mean she's back. That was incredible to see. 279 00:12:03,800 --> 00:12:05,640 Speaker 4: Yeah, incredible journey. I mean not just having a couple 280 00:12:05,679 --> 00:12:07,680 Speaker 4: of kids, but also her battle with her health issues 281 00:12:07,720 --> 00:12:09,520 Speaker 4: that she's been battling over the last few years. I mean, 282 00:12:09,760 --> 00:12:11,920 Speaker 4: the game she played the other night was incredible. Looking 283 00:12:11,920 --> 00:12:13,080 Speaker 4: forward to seeing her to night as well. 284 00:12:13,760 --> 00:12:16,800 Speaker 2: Speaking of battles, just thirty seconds left here. The pay issues. 285 00:12:16,840 --> 00:12:19,040 Speaker 3: I know, the USTA has done a lot in terms 286 00:12:19,120 --> 00:12:21,240 Speaker 3: of the Open, but there's still some work. 287 00:12:21,040 --> 00:12:21,480 Speaker 2: To be done. 288 00:12:21,600 --> 00:12:23,320 Speaker 5: The thing that people have to keep in mind is 289 00:12:23,320 --> 00:12:26,079 Speaker 5: that it's the WTA. The Women's store and the men's 290 00:12:26,160 --> 00:12:28,720 Speaker 5: Tour are two separate bodies. They have their own prize 291 00:12:28,720 --> 00:12:31,680 Speaker 5: pools they dictate or yeah, their prize money, they dictate 292 00:12:31,720 --> 00:12:34,720 Speaker 5: that separately. So optically, yeah, it doesn't look great when 293 00:12:34,760 --> 00:12:36,839 Speaker 5: you're at a tournament that they award, let you know, 294 00:12:37,000 --> 00:12:39,520 Speaker 5: a different amount to each player. But it's not as 295 00:12:39,600 --> 00:12:42,559 Speaker 5: if one governing body is deciding that the women are 296 00:12:42,559 --> 00:12:43,520 Speaker 5: earning less than the men. 297 00:12:43,640 --> 00:12:44,800 Speaker 2: All right, we're gonta leave it there. 298 00:12:45,600 --> 00:12:48,240 Speaker 3: Oh wait, it's the Tennis channel calling. Oh wait, it's 299 00:12:48,480 --> 00:12:50,800 Speaker 3: ESPN calling. Wait it's CBS Sports calling. 300 00:12:51,240 --> 00:12:53,080 Speaker 2: You were really good. That was really fun. 301 00:12:53,240 --> 00:12:54,720 Speaker 5: Let's stay here all day. 302 00:12:55,280 --> 00:12:57,439 Speaker 4: ESPN's just right over there. Just walk on over, and. 303 00:12:57,520 --> 00:13:02,600 Speaker 3: The economics editors, sports commentator a little bit of that. 304 00:13:02,760 --> 00:13:04,960 Speaker 2: She does it all. Mollie Smith, Thanks so much. Enjoy 305 00:13:05,000 --> 00:13:06,600 Speaker 2: the rest of it. You can tell you're having a ball. 306 00:13:06,679 --> 00:13:09,520 Speaker 3: Molly Smith here Bloomberg News Economics editor on site with 307 00:13:09,600 --> 00:13:10,240 Speaker 3: us at the Open. 308 00:13:10,360 --> 00:13:13,360 Speaker 2: We're just getting started on this. It's Friday. Can you 309 00:13:13,440 --> 00:13:16,240 Speaker 2: tell stick around? Everybody's coming back. This is Bloomberg. 310 00:13:18,080 --> 00:13:21,640 Speaker 1: You're listening to the Bloomberg Business Week podcast. Catch us 311 00:13:21,679 --> 00:13:25,040 Speaker 1: live weekday afternoons from three to six Eastern Listen on 312 00:13:25,080 --> 00:13:29,120 Speaker 1: Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App, 313 00:13:29,400 --> 00:13:31,800 Speaker 1: or watch us live on YouTube. 314 00:13:32,600 --> 00:13:34,920 Speaker 3: Carol Masser along with Tim Stenoviek live at the US 315 00:13:35,040 --> 00:13:38,360 Speaker 3: open here in Flushing Meadows, New York, of course, just. 316 00:13:38,360 --> 00:13:40,080 Speaker 2: Outside Arthur Ash. 317 00:13:40,160 --> 00:13:41,720 Speaker 3: We're going to get back to tennis in just a moment. 318 00:13:41,760 --> 00:13:43,880 Speaker 3: Although I feel like Molly, what one incredible job of 319 00:13:43,960 --> 00:13:46,840 Speaker 3: kind of melding the job market the economy and then 320 00:13:46,840 --> 00:13:48,120 Speaker 3: of course talking tennis here. 321 00:13:48,080 --> 00:13:49,520 Speaker 2: Right now that we need to do a little bit 322 00:13:49,520 --> 00:13:50,360 Speaker 2: more on the job market. 323 00:13:50,400 --> 00:13:53,000 Speaker 4: Yeah, let's talk about it. It was a deployment report 324 00:13:53,040 --> 00:13:54,960 Speaker 4: that we got today that showed the US hiring picked 325 00:13:55,000 --> 00:13:57,600 Speaker 4: up in August, wage growth slowed. It offered a mixed 326 00:13:57,640 --> 00:14:00,400 Speaker 4: picture of both resilience and moderation when comes to the 327 00:14:00,440 --> 00:14:03,280 Speaker 4: labor market. Pretty much what Jay Powell wants to see. 328 00:14:03,400 --> 00:14:06,040 Speaker 2: Yeah, he's got to be pretty happy and feeling pretty confident. 329 00:14:05,760 --> 00:14:07,559 Speaker 4: Well with us, and to give us an idea of 330 00:14:07,640 --> 00:14:09,320 Speaker 4: what she's seeing when it comes to jobs here in 331 00:14:09,360 --> 00:14:11,400 Speaker 4: the US. We are very pleased to go back with us. 332 00:14:11,440 --> 00:14:14,360 Speaker 4: Amy Glazer, senior vice president at the staffing and Recruiting 333 00:14:14,400 --> 00:14:16,720 Speaker 4: agency at DECO. She joins us on Zoom from Florida 334 00:14:16,760 --> 00:14:18,040 Speaker 4: this afternoon. Amy, how are. 335 00:14:17,880 --> 00:14:21,360 Speaker 7: You hey, Good morning, Good afternoons. Then I'm great. 336 00:14:22,800 --> 00:14:25,640 Speaker 4: Yeah, we're doing pretty well here in six It's good 337 00:14:25,640 --> 00:14:27,680 Speaker 4: to have you with us this afternoon. So what were 338 00:14:27,680 --> 00:14:30,040 Speaker 4: your big takeaways from the employment report versus what you're 339 00:14:30,080 --> 00:14:31,600 Speaker 4: seeing on at a deco. 340 00:14:33,000 --> 00:14:35,120 Speaker 8: Yeah, so I think what we're still seeing it's definitely 341 00:14:35,160 --> 00:14:38,720 Speaker 8: a talent driven market. Although you did the unemployment tick 342 00:14:38,800 --> 00:14:41,320 Speaker 8: up thirty basis points. You know, that being offset by 343 00:14:41,320 --> 00:14:44,800 Speaker 8: the labor of participation rate really just continues to send 344 00:14:45,160 --> 00:14:46,119 Speaker 8: mixed messages. 345 00:14:46,320 --> 00:14:48,160 Speaker 7: But those sectors that showed us. 346 00:14:48,080 --> 00:14:52,080 Speaker 8: Growing or what we're seeing, hospitality still growing in demand. 347 00:14:52,160 --> 00:14:56,040 Speaker 8: Healthcare is hot hot right now, another you know, some 348 00:14:56,080 --> 00:14:59,320 Speaker 8: of the other industries pulling a little bit, but really 349 00:14:59,680 --> 00:15:02,760 Speaker 8: looking to surge ahead again in September as holiday hiring 350 00:15:03,520 --> 00:15:05,760 Speaker 8: gets hot and heavy. 351 00:15:06,800 --> 00:15:08,600 Speaker 4: You know, I'm really interested in what you said about 352 00:15:08,640 --> 00:15:10,960 Speaker 4: this being a talent driven economy. Is carently I've talked 353 00:15:10,960 --> 00:15:13,400 Speaker 4: about over the last few months. It really seems like, 354 00:15:15,040 --> 00:15:17,480 Speaker 4: I don't know, Carol the uh. There's been a shift 355 00:15:17,520 --> 00:15:20,440 Speaker 4: with when companies demanding workers come back to the office. 356 00:15:20,440 --> 00:15:22,160 Speaker 4: It's one that you and I predicted that the work 357 00:15:22,160 --> 00:15:24,240 Speaker 4: from home thing wouldn't last forever, and as soon as 358 00:15:24,240 --> 00:15:27,520 Speaker 4: there was this imbalance between supply and demand, as soon 359 00:15:27,560 --> 00:15:29,640 Speaker 4: as that eased, we would start to see companies wanting 360 00:15:29,640 --> 00:15:32,240 Speaker 4: their employees back in the office, Amy, what makes you 361 00:15:32,280 --> 00:15:34,160 Speaker 4: say that it's still a talent driven. 362 00:15:35,440 --> 00:15:37,360 Speaker 8: You know, I think as long as you've got one 363 00:15:37,440 --> 00:15:40,680 Speaker 8: and a half openings for every single job seeker, they 364 00:15:40,720 --> 00:15:43,560 Speaker 8: still have lots of opportunity and are willing to kind 365 00:15:43,560 --> 00:15:46,760 Speaker 8: of add for what they're looking for. And those employers 366 00:15:46,760 --> 00:15:49,600 Speaker 8: that are offering flexibility and being agile right now are 367 00:15:49,640 --> 00:15:52,120 Speaker 8: the ones that are really winning. We are seeing the 368 00:15:52,160 --> 00:15:55,840 Speaker 8: return to the office, but we're also surprisingly seeing a 369 00:15:55,880 --> 00:15:59,240 Speaker 8: stronger appetite from a lot of job seekers to return 370 00:15:59,280 --> 00:16:01,720 Speaker 8: to the office, especially if that's in that kind of 371 00:16:02,120 --> 00:16:03,680 Speaker 8: hybrid type of environment. 372 00:16:05,480 --> 00:16:08,360 Speaker 3: Hey, so, Amy, give us a reminder for our audience 373 00:16:08,480 --> 00:16:10,760 Speaker 3: about the type of you do staff and you do recruiting. 374 00:16:11,560 --> 00:16:14,240 Speaker 2: What kind of jobs typically? Is it white collar, is 375 00:16:14,280 --> 00:16:15,080 Speaker 2: it office? 376 00:16:15,120 --> 00:16:17,360 Speaker 3: What kind of jobs particularly are you working or does 377 00:16:17,400 --> 00:16:19,160 Speaker 3: it cross a lot of different worlds. 378 00:16:20,400 --> 00:16:22,640 Speaker 8: So I'm part of our general staffing sector, so it 379 00:16:22,680 --> 00:16:25,320 Speaker 8: crosses a little bit of everything from blue collar to 380 00:16:25,360 --> 00:16:29,440 Speaker 8: white collar, professional services, healthcare, creative and marketing. So we 381 00:16:29,520 --> 00:16:33,120 Speaker 8: pretty much run the gamut of temporary to full time 382 00:16:33,560 --> 00:16:34,520 Speaker 8: permanent placement. 383 00:16:34,800 --> 00:16:36,200 Speaker 7: So we do have. 384 00:16:36,160 --> 00:16:40,840 Speaker 8: The opportunity to see a really large spectrum of items 385 00:16:40,880 --> 00:16:42,200 Speaker 8: going on in the market out. 386 00:16:42,080 --> 00:16:45,160 Speaker 3: There, all right, So where would you see would you 387 00:16:45,200 --> 00:16:47,280 Speaker 3: say in particular, because it sounds like you are pretty 388 00:16:47,320 --> 00:16:51,800 Speaker 3: optimistic and that the worker is still kind of in 389 00:16:51,800 --> 00:16:54,320 Speaker 3: the driver's seat, or those job seekers are still in 390 00:16:54,320 --> 00:16:55,000 Speaker 3: the driver's seat. 391 00:16:55,120 --> 00:16:57,160 Speaker 2: Where in particular are you seeing strength? 392 00:16:57,160 --> 00:16:59,840 Speaker 3: And I'm also curious about older workers because I feel 393 00:16:59,880 --> 00:17:03,800 Speaker 3: like that labor participation rate was also the result of 394 00:17:03,840 --> 00:17:07,040 Speaker 3: maybe some workers maybe older, maybe they had some savings 395 00:17:07,119 --> 00:17:07,800 Speaker 3: or maybe. 396 00:17:07,640 --> 00:17:08,239 Speaker 2: What have you. 397 00:17:08,280 --> 00:17:10,000 Speaker 3: And we're like, I didn't need to come back in 398 00:17:10,040 --> 00:17:12,120 Speaker 3: now I'm coming back in and we'll find out more, 399 00:17:12,119 --> 00:17:14,199 Speaker 3: I'm sure as the time goes on, But tell us 400 00:17:14,200 --> 00:17:15,480 Speaker 3: about what you're seeing in that front. 401 00:17:16,480 --> 00:17:19,359 Speaker 7: Yeah, I think we're still seeing strength in healthcare. And 402 00:17:19,400 --> 00:17:20,080 Speaker 7: it's funny. 403 00:17:20,080 --> 00:17:21,879 Speaker 8: I was talking to my mother last night, who retired 404 00:17:21,880 --> 00:17:25,199 Speaker 8: as a nurse and actually returned to the workforce. So 405 00:17:25,240 --> 00:17:27,760 Speaker 8: I think she's one out of every six of those 406 00:17:27,800 --> 00:17:30,880 Speaker 8: retirees that have been considering returning. 407 00:17:30,440 --> 00:17:32,680 Speaker 7: To the workforce. And it's for a couple of different reasons. 408 00:17:33,080 --> 00:17:36,399 Speaker 8: Number one, inflation looking for ways to supplement income. But 409 00:17:36,480 --> 00:17:39,680 Speaker 8: number two, a lot of folks that retired during the 410 00:17:39,680 --> 00:17:43,359 Speaker 8: pandemic have really started missing that sense of purpose that 411 00:17:43,840 --> 00:17:45,680 Speaker 8: you feel when you go to work every day, and 412 00:17:45,720 --> 00:17:50,040 Speaker 8: that sense of community and camaraderie. So it's offering the 413 00:17:50,119 --> 00:17:52,399 Speaker 8: opportunity for the retirees. 414 00:17:51,800 --> 00:17:53,200 Speaker 7: To return to the workforce. 415 00:17:53,600 --> 00:17:56,840 Speaker 8: What we are seeing is a trend for retirees is 416 00:17:56,880 --> 00:18:00,160 Speaker 8: more of a part time return to the workforce. They're 417 00:18:00,160 --> 00:18:02,560 Speaker 8: coming back, They're not giving up their days on the 418 00:18:02,600 --> 00:18:04,720 Speaker 8: golf course. They're coming back and working a couple of 419 00:18:04,760 --> 00:18:07,200 Speaker 8: days at a time or a mixed shift. 420 00:18:09,200 --> 00:18:11,600 Speaker 4: So the narrative that emerged in the last couple of 421 00:18:11,720 --> 00:18:15,640 Speaker 4: years of people during the pandemic permanently removing themselves from 422 00:18:15,640 --> 00:18:19,000 Speaker 4: the workforce, is that still the case or is everything 423 00:18:19,000 --> 00:18:21,800 Speaker 4: that you mentioned sort of making that So it's been 424 00:18:21,840 --> 00:18:22,560 Speaker 4: turned on its head. 425 00:18:23,960 --> 00:18:25,760 Speaker 8: I think it's been turned on its head a little bit. 426 00:18:25,800 --> 00:18:28,199 Speaker 8: And I think, you know, inflation certainly has been driving 427 00:18:28,840 --> 00:18:31,000 Speaker 8: as folks are concerned about how they're going to keep 428 00:18:31,119 --> 00:18:33,720 Speaker 8: up with their overall costs. So I think, you know, 429 00:18:33,760 --> 00:18:36,359 Speaker 8: we're continuing to see a lot of creativity we were 430 00:18:36,560 --> 00:18:38,240 Speaker 8: I was talking to one of my customers the other 431 00:18:38,320 --> 00:18:40,800 Speaker 8: day who had found a set of school bus drivers 432 00:18:41,000 --> 00:18:43,320 Speaker 8: that were willing to pick up this odd shift from 433 00:18:43,359 --> 00:18:46,040 Speaker 8: midnight to five in the morning and then go drive 434 00:18:46,240 --> 00:18:48,360 Speaker 8: their bus route to supplement their income. 435 00:18:48,680 --> 00:18:49,840 Speaker 7: But it was a huge. 436 00:18:49,520 --> 00:18:53,000 Speaker 8: Benefit to the employer who genuinely usually had a hard 437 00:18:53,000 --> 00:18:57,239 Speaker 8: time attracting that third shift workforce. So creativity, flexibility are 438 00:18:57,280 --> 00:18:59,440 Speaker 8: really the name of the game and who's going to 439 00:18:59,480 --> 00:19:01,200 Speaker 8: win this moving forward? 440 00:19:02,560 --> 00:19:03,400 Speaker 2: What about wages? 441 00:19:04,680 --> 00:19:05,919 Speaker 7: Yeah, so we. 442 00:19:06,520 --> 00:19:10,159 Speaker 8: Are seeing definitely a slowdown in terms of the huge, 443 00:19:10,200 --> 00:19:14,600 Speaker 8: big sign on bonuses, retention bonuses, perks that were being offered. 444 00:19:14,960 --> 00:19:17,359 Speaker 8: We're seeing employers continue to put it kind of in 445 00:19:17,480 --> 00:19:20,640 Speaker 8: more of that base wage rate and supplement it by 446 00:19:20,800 --> 00:19:24,720 Speaker 8: non monetary perks, whether it be flexible schedules, the ability 447 00:19:24,800 --> 00:19:28,840 Speaker 8: to work from home, enhanced benefits, enhance mental and well being, 448 00:19:29,040 --> 00:19:32,760 Speaker 8: financial offerings. So we're seeing quite a bit of things 449 00:19:32,880 --> 00:19:37,040 Speaker 8: in that nature. We are expecting as seasonal hiring starts, 450 00:19:37,119 --> 00:19:40,880 Speaker 8: there's still going to be acceleration within wages in that 451 00:19:40,960 --> 00:19:44,320 Speaker 8: blue collar hourly workforce sector, especially in. 452 00:19:44,320 --> 00:19:45,280 Speaker 7: Quarter four this year. 453 00:19:46,880 --> 00:19:48,760 Speaker 4: Is it still a good time for as to ask 454 00:19:48,800 --> 00:19:49,280 Speaker 4: for a raise. 455 00:19:51,080 --> 00:19:53,280 Speaker 8: It's always a good time to ask for a raise 456 00:19:53,400 --> 00:19:55,760 Speaker 8: if you've got a solid reason behind it. 457 00:19:55,840 --> 00:19:57,680 Speaker 7: I think, you know, recruiting has been. 458 00:19:57,640 --> 00:19:59,399 Speaker 8: The name of the game for a long time, and 459 00:19:59,600 --> 00:20:03,200 Speaker 8: employe have really settled in on retention and keeping their 460 00:20:03,240 --> 00:20:07,159 Speaker 8: top talent as being a priority. So my recommendation is, 461 00:20:07,200 --> 00:20:11,840 Speaker 8: if you've got the data and stats to support your request, 462 00:20:12,000 --> 00:20:15,679 Speaker 8: that employer, the ROI on you is often worth a 463 00:20:15,720 --> 00:20:19,240 Speaker 8: lot more of a vacancy and having to replace that 464 00:20:19,400 --> 00:20:20,280 Speaker 8: cost of turnover. 465 00:20:21,680 --> 00:20:23,760 Speaker 3: Just going to say our crew, everybody's ears perked up 466 00:20:23,760 --> 00:20:25,879 Speaker 3: when it's like, is this the time to ask for you? 467 00:20:26,040 --> 00:20:26,200 Speaker 6: Said? 468 00:20:26,280 --> 00:20:28,680 Speaker 4: Yes, always you got to have you. 469 00:20:30,600 --> 00:20:35,720 Speaker 3: But but having said that, it's interesting because I feel like, 470 00:20:36,520 --> 00:20:40,760 Speaker 3: you know, we know employers, you know, amy want to 471 00:20:40,800 --> 00:20:42,879 Speaker 3: hold on to workers and they tend to what do 472 00:20:42,960 --> 00:20:46,600 Speaker 3: we call that hoarding labor hoarding, you know, holding onto 473 00:20:46,600 --> 00:20:48,480 Speaker 3: workers not wanting to letting them go because the cost 474 00:20:48,520 --> 00:20:51,479 Speaker 3: of finding a worker is pretty expensive. But I do 475 00:20:51,560 --> 00:20:55,800 Speaker 3: also hear about this quiet quitting or you know, quietly firing, 476 00:20:56,000 --> 00:21:00,440 Speaker 3: quiet firing like stuff going on so that people employers 477 00:21:00,520 --> 00:21:01,919 Speaker 3: do reduce their workforces. 478 00:21:01,920 --> 00:21:02,960 Speaker 2: What are you seeing on that front? 479 00:21:04,240 --> 00:21:07,320 Speaker 8: Yeah, I think it's it just varies by employer, by sector, 480 00:21:08,080 --> 00:21:11,320 Speaker 8: different portions and pockets along the along the US, those 481 00:21:11,320 --> 00:21:13,440 Speaker 8: were some really big buzzwords. 482 00:21:12,880 --> 00:21:15,760 Speaker 7: We heard for the last twelve to eighteen months. 483 00:21:15,680 --> 00:21:17,760 Speaker 8: And there's not been a lot of noise, so kind 484 00:21:17,760 --> 00:21:21,280 Speaker 8: of quiet on that front as well. 485 00:21:23,359 --> 00:21:25,840 Speaker 4: Okay, So I guess my last question is because I 486 00:21:25,920 --> 00:21:29,000 Speaker 4: oftentimes go to that Jolts number when I'm talking about 487 00:21:29,040 --> 00:21:31,760 Speaker 4: the labor force, and I always get pushback from people 488 00:21:31,760 --> 00:21:34,080 Speaker 4: that say, Okay, why do you say there's one point 489 00:21:34,080 --> 00:21:36,879 Speaker 4: five jobs for every you know, person out there who's 490 00:21:36,920 --> 00:21:39,680 Speaker 4: looking when you know nobody's going to move from Toledo, 491 00:21:39,720 --> 00:21:44,640 Speaker 4: Ohio to Florida in order to take a restaurant job, right. 492 00:21:44,920 --> 00:21:47,160 Speaker 7: I think that's where the mismatch occurs to him. 493 00:21:47,200 --> 00:21:49,119 Speaker 8: And when you look at it, there is one point 494 00:21:49,160 --> 00:21:52,399 Speaker 8: five jobs, But is it in your skill set? Is 495 00:21:52,440 --> 00:21:54,879 Speaker 8: it in your market? You know, we have this conversation 496 00:21:54,960 --> 00:21:57,040 Speaker 8: about skill or will. Do you have the skill to 497 00:21:57,040 --> 00:21:59,159 Speaker 8: do the job? Is it in your location or do 498 00:21:59,240 --> 00:22:02,120 Speaker 8: you have the will and desire to move towards it 499 00:22:02,240 --> 00:22:04,320 Speaker 8: or to maybe take a step down or learn a 500 00:22:04,359 --> 00:22:07,120 Speaker 8: new skill. So I think that's where we still continue 501 00:22:07,119 --> 00:22:10,960 Speaker 8: to find the disparity in those numbers. And as you know, 502 00:22:11,000 --> 00:22:15,240 Speaker 8: the population continues to move, it's still forcing employers to 503 00:22:15,240 --> 00:22:16,119 Speaker 8: be quite flexible. 504 00:22:17,640 --> 00:22:19,399 Speaker 2: All right, We're going to leave it on that note. Listen. 505 00:22:19,520 --> 00:22:20,639 Speaker 2: So good to catch up with you. 506 00:22:20,640 --> 00:22:24,480 Speaker 3: Have a great holiday weekend, so appreciate getting some time 507 00:22:24,520 --> 00:22:26,879 Speaker 3: with you. Amy Glazer's senior vice president of the staffing 508 00:22:26,880 --> 00:22:30,320 Speaker 3: and Recruiting Agency at Deco, joining us on zoom from Florida, So, 509 00:22:30,560 --> 00:22:33,200 Speaker 3: you know, a continued strength, you know, a little. 510 00:22:33,080 --> 00:22:34,879 Speaker 4: Later in our program, we're going to be talking with 511 00:22:35,440 --> 00:22:37,760 Speaker 4: the person who oversees all dining here. I'm going to 512 00:22:37,800 --> 00:22:39,880 Speaker 4: ask a lot about staffing and if they've been able 513 00:22:39,920 --> 00:22:41,560 Speaker 4: to get sufficient staffing here. 514 00:22:41,600 --> 00:22:43,600 Speaker 3: That's a really good point, right, I mean, because you 515 00:22:43,680 --> 00:22:45,280 Speaker 3: need a lot of people to make all this stuff happen. 516 00:22:45,320 --> 00:22:46,320 Speaker 4: It's expensive here too. 517 00:22:47,080 --> 00:22:50,680 Speaker 1: You're listening to the Bloomberg Business Week podcast. Catch us 518 00:22:50,680 --> 00:22:54,720 Speaker 1: live weekday afternoons from three to six Eastern on Bloomberg Radio, 519 00:22:54,920 --> 00:22:58,200 Speaker 1: the Bloomberg Business app and YouTube. You can also listen 520 00:22:58,280 --> 00:23:01,399 Speaker 1: live on Amazon Alexa from our flagship New York station 521 00:23:01,840 --> 00:23:04,600 Speaker 1: Just Say Alexa playing Bloomberg eleven thirty. 522 00:23:19,119 --> 00:23:21,880 Speaker 2: We are under an incredible blue guys right now. 523 00:23:21,920 --> 00:23:26,720 Speaker 4: Love to I know, I know, I know, such a loss, I. 524 00:23:26,720 --> 00:23:29,199 Speaker 3: Know, I know, but great music that we get to 525 00:23:29,200 --> 00:23:30,840 Speaker 3: share with I know I share with my younger daughter. 526 00:23:30,840 --> 00:23:31,800 Speaker 2: You're gonna share with your kids. 527 00:23:31,800 --> 00:23:33,840 Speaker 4: I bet we already are sharing Tom Patty and a 528 00:23:33,880 --> 00:23:36,280 Speaker 4: lot of music from back in the day with our kids. 529 00:23:36,960 --> 00:23:38,119 Speaker 4: Don't we've got a record player. 530 00:23:38,160 --> 00:23:41,240 Speaker 3: Don't play Oh my god, don't play Barney, guys, I mean, 531 00:23:41,920 --> 00:23:42,240 Speaker 3: we don't. 532 00:23:42,280 --> 00:23:43,920 Speaker 2: There's much better music to raise your kids on. 533 00:23:44,040 --> 00:23:46,679 Speaker 4: Sorry, Barney, Barney, Barney's not offended. 534 00:23:47,320 --> 00:23:48,960 Speaker 2: Hi, everyone, Welcome back to Bloomberg Business. 535 00:23:49,000 --> 00:23:52,200 Speaker 3: We Carol Master lawer Tim Stanovic on YouTube of course, 536 00:23:52,200 --> 00:23:55,040 Speaker 3: streaming on Bloomberg Originals and of course on Bloomberg Radio. 537 00:23:55,160 --> 00:23:58,399 Speaker 3: Here at the US Open, we want to talk about cryotherapy, 538 00:23:58,960 --> 00:24:04,080 Speaker 3: a mixed reality tennis game, Espresso, martiniz NFTs. They're all 539 00:24:04,080 --> 00:24:06,920 Speaker 3: here at the US Open courtesy of American Express, and 540 00:24:06,960 --> 00:24:09,919 Speaker 3: we've got Shisuzuki with US VP of Global Brand, Sponsorships 541 00:24:09,960 --> 00:24:13,080 Speaker 3: and Experiential Marketing at American Express, sitting right next to us. 542 00:24:13,600 --> 00:24:16,200 Speaker 2: Welcome, Welcome, thank you, thank you for having me, Thank 543 00:24:16,240 --> 00:24:17,879 Speaker 2: you for having us at your party. 544 00:24:19,480 --> 00:24:21,399 Speaker 5: It's a great place to be in this week. 545 00:24:21,480 --> 00:24:22,720 Speaker 2: Well, you know, it really is. 546 00:24:22,760 --> 00:24:24,680 Speaker 3: And Tim and I talk about this as we walk around. 547 00:24:25,359 --> 00:24:28,040 Speaker 3: You know, it really is an experience. It is absolutely 548 00:24:28,080 --> 00:24:31,400 Speaker 3: first and foremost about the folks, the incredible athletes, the matches, 549 00:24:31,800 --> 00:24:33,080 Speaker 3: but what you guys do at. 550 00:24:32,960 --> 00:24:35,240 Speaker 2: American Express really makes it a cool experience. How do 551 00:24:35,280 --> 00:24:36,680 Speaker 2: you think about the event every year now? 552 00:24:36,880 --> 00:24:40,360 Speaker 9: So it's so amazing, right And to your point, certainly 553 00:24:40,400 --> 00:24:44,439 Speaker 9: this is around world class athletes and the tennis, but 554 00:24:45,000 --> 00:24:46,679 Speaker 9: it is there's so much more to it than that 555 00:24:46,760 --> 00:24:47,120 Speaker 9: as well. 556 00:24:47,200 --> 00:24:47,600 Speaker 5: Right, it's a. 557 00:24:47,680 --> 00:24:50,480 Speaker 9: Music it's you know, they've got music, they've got food 558 00:24:50,520 --> 00:24:53,840 Speaker 9: and wine festival, they've got all sorts of things. And frankly, 559 00:24:53,880 --> 00:24:56,560 Speaker 9: for us at American Express, it is about that experience. 560 00:24:56,600 --> 00:24:59,959 Speaker 9: It's about making the experience here even better for our 561 00:25:00,080 --> 00:25:03,600 Speaker 9: card members and prospective card members, and so it's always 562 00:25:03,640 --> 00:25:06,840 Speaker 9: about that like holistic experience, I mean, you know, and 563 00:25:06,840 --> 00:25:08,480 Speaker 9: if we had to kind of summarize it up, we 564 00:25:08,600 --> 00:25:12,840 Speaker 9: start with access to the actual tickets themselves back. 565 00:25:12,680 --> 00:25:14,360 Speaker 2: In May and June, which I understand. 566 00:25:14,359 --> 00:25:16,320 Speaker 5: So that really quick, so very quickly. 567 00:25:16,359 --> 00:25:19,119 Speaker 9: It's a great early indicator how things are going to go, 568 00:25:19,240 --> 00:25:21,959 Speaker 9: and we offer that for card members. We come on 569 00:25:22,040 --> 00:25:25,520 Speaker 9: site and we do some really great things experientially. Irl. 570 00:25:25,880 --> 00:25:29,120 Speaker 9: We have a twenty thousand square foot fan experience over 571 00:25:29,160 --> 00:25:31,640 Speaker 9: by the East Gate, and then we've got some other 572 00:25:31,680 --> 00:25:34,639 Speaker 9: fun things as well. Whether that be in terms of 573 00:25:35,000 --> 00:25:38,440 Speaker 9: you know, great offers or you know other things. So yeah, 574 00:25:38,480 --> 00:25:40,240 Speaker 9: it's a holistic experience. 575 00:25:40,440 --> 00:25:43,199 Speaker 4: So she's I mean, no question, American Express, this is 576 00:25:43,200 --> 00:25:45,639 Speaker 4: an important event to American Express. It's thirty years at 577 00:25:45,640 --> 00:25:49,320 Speaker 4: the US Open. Obviously everybody knows American Express spends a 578 00:25:49,359 --> 00:25:52,600 Speaker 4: lot of money on this event. But draw the line 579 00:25:52,920 --> 00:25:56,119 Speaker 4: from spending money here to getting more people signing up 580 00:25:56,119 --> 00:25:57,000 Speaker 4: for platinum cards. 581 00:25:57,200 --> 00:25:57,800 Speaker 5: Yeah. 582 00:25:58,160 --> 00:26:00,480 Speaker 9: I mean, at the end of the day, right, why 583 00:26:00,560 --> 00:26:03,520 Speaker 9: does any brand invest in sponsorships or partnerships at all? 584 00:26:04,359 --> 00:26:08,160 Speaker 9: I think at the very basic level, right, it's really 585 00:26:08,200 --> 00:26:12,800 Speaker 9: about building relationships. It's building relationships with your customer base 586 00:26:12,880 --> 00:26:16,159 Speaker 9: of today customer and the customer base of tomorrow, so 587 00:26:16,200 --> 00:26:19,760 Speaker 9: your prospective customers as well. And so for us, the 588 00:26:19,800 --> 00:26:22,639 Speaker 9: investments that we make in a partnership, certainly like the 589 00:26:22,760 --> 00:26:26,480 Speaker 9: USTA and the US Open or any other sport, music, 590 00:26:26,880 --> 00:26:28,600 Speaker 9: you know, the things that we invest in it is 591 00:26:28,640 --> 00:26:31,000 Speaker 9: about that. It is about being where our card members are, 592 00:26:31,040 --> 00:26:34,399 Speaker 9: where we think our prospective card members will be, and 593 00:26:34,440 --> 00:26:37,680 Speaker 9: then bringing those benefits and really unique experiences to life, 594 00:26:37,720 --> 00:26:40,320 Speaker 9: because at the end of the day, we want people 595 00:26:40,320 --> 00:26:44,159 Speaker 9: to walk away saying gosh, like It was a great experience, 596 00:26:44,160 --> 00:26:47,200 Speaker 9: but it was made even better because of right American 597 00:26:47,240 --> 00:26:49,920 Speaker 9: Express in that moment or that thing or other. 598 00:26:50,000 --> 00:26:51,080 Speaker 2: Well, full transparency. 599 00:26:51,119 --> 00:26:54,840 Speaker 3: You get two AMEX members, Right, that's me than over 600 00:26:54,880 --> 00:26:55,520 Speaker 3: thirty years. 601 00:26:55,560 --> 00:26:57,359 Speaker 2: I got it, like I think my last year senior 602 00:26:57,400 --> 00:26:59,040 Speaker 2: year in college. I don't know when you got yours. 603 00:26:59,119 --> 00:27:00,639 Speaker 4: I got it in college. 604 00:27:01,040 --> 00:27:04,520 Speaker 3: And you know what's interesting is I think about the 605 00:27:04,560 --> 00:27:07,080 Speaker 3: benefits and there's a lot of reasons why. I know 606 00:27:07,119 --> 00:27:09,480 Speaker 3: it works for certainly our family, But I think about 607 00:27:09,480 --> 00:27:12,639 Speaker 3: the pandemic, right, certainly impacted what you guys offered in 608 00:27:12,720 --> 00:27:15,480 Speaker 3: terms of services because nobody was traveling, nobody was doing things. 609 00:27:15,640 --> 00:27:18,359 Speaker 3: How do you think about coming off the pandemic, but 610 00:27:18,440 --> 00:27:21,240 Speaker 3: here we are again experiencing things. How do you continue 611 00:27:21,280 --> 00:27:24,359 Speaker 3: to involve services that maybe you offer here, but it 612 00:27:24,400 --> 00:27:26,719 Speaker 3: becomes a much bigger, broader thing a part of what 613 00:27:26,760 --> 00:27:27,360 Speaker 3: you guys. 614 00:27:27,160 --> 00:27:29,080 Speaker 9: Do, and I mean for us, right, we have so 615 00:27:29,200 --> 00:27:32,400 Speaker 9: many types of benefits, certainly even from a sponsorship's perspective 616 00:27:32,400 --> 00:27:35,879 Speaker 9: of what I work on. We have incredible events all 617 00:27:35,920 --> 00:27:37,840 Speaker 9: around the globe. In fact, July, we just came back 618 00:27:37,840 --> 00:27:40,639 Speaker 9: from Wimbledon, right, so we're at that Grand Slam as well, 619 00:27:41,080 --> 00:27:44,919 Speaker 9: we're in all sorts of music festivals, Coachella, American Express Presents, BSD, 620 00:27:45,080 --> 00:27:48,239 Speaker 9: Hyde Park too, you know, all sorts of things, and 621 00:27:48,280 --> 00:27:50,560 Speaker 9: so every single one of those we I mean, we 622 00:27:50,600 --> 00:27:53,040 Speaker 9: look at what is the fan base, what's the true 623 00:27:53,040 --> 00:27:55,160 Speaker 9: authentic way to show up in a way to make 624 00:27:55,200 --> 00:27:56,600 Speaker 9: that fans experience better. 625 00:27:56,760 --> 00:27:57,720 Speaker 5: That's that's the key. 626 00:27:58,600 --> 00:28:00,520 Speaker 9: It can't just be from an amateur point of view, 627 00:28:00,640 --> 00:28:04,120 Speaker 9: has to be from that fan centric view. And then 628 00:28:04,200 --> 00:28:05,720 Speaker 9: bringing those things to life. 629 00:28:06,200 --> 00:28:07,640 Speaker 3: What do you guys do though with like I think 630 00:28:07,680 --> 00:28:09,439 Speaker 3: like a Taylor Swift concert which we tried to get 631 00:28:09,480 --> 00:28:11,879 Speaker 3: tickets like, or so like a concert that's so popular 632 00:28:12,240 --> 00:28:16,119 Speaker 3: and you know, you see it early access love using it, 633 00:28:16,200 --> 00:28:18,000 Speaker 3: but sometimes it's just over like. 634 00:28:18,000 --> 00:28:19,320 Speaker 4: Yeah, it's you. 635 00:28:19,560 --> 00:28:20,520 Speaker 3: Is that enough? 636 00:28:21,880 --> 00:28:24,000 Speaker 2: And I'm sure you. Yeah, They're coming up and saying 637 00:28:24,040 --> 00:28:25,640 Speaker 2: I've been with you for this many years, like how 638 00:28:25,640 --> 00:28:27,760 Speaker 2: do you? How do you deal with that stuff? 639 00:28:27,800 --> 00:28:30,400 Speaker 9: I mean, listen, So, I when we think about our 640 00:28:30,440 --> 00:28:33,040 Speaker 9: investments with music, it's really i'll call it a three 641 00:28:33,160 --> 00:28:36,359 Speaker 9: sixty approach. So an artist like Ed Sheeran somebody who 642 00:28:36,400 --> 00:28:39,320 Speaker 9: we've also worked with, right, so we've done certainly like 643 00:28:39,360 --> 00:28:42,040 Speaker 9: the pre sell ticket access but then it's about things 644 00:28:42,080 --> 00:28:44,440 Speaker 9: like pop up experiences in various cities. I don't know 645 00:28:44,440 --> 00:28:47,160 Speaker 9: if you remember, at the very start of his tour 646 00:28:47,240 --> 00:28:50,160 Speaker 9: earlier this summer, there were a couple of cities where 647 00:28:50,200 --> 00:28:52,080 Speaker 9: we had these pop up experiences and guess what he 648 00:28:52,240 --> 00:28:53,320 Speaker 9: actually popped. 649 00:28:53,040 --> 00:28:53,600 Speaker 5: Up with them. 650 00:28:54,160 --> 00:28:56,440 Speaker 9: He did, like a pop up concert here in New York. 651 00:28:56,480 --> 00:28:57,920 Speaker 9: For the New York one, he did a pop up 652 00:28:57,960 --> 00:29:02,160 Speaker 9: concert acoustic guitar in the middle of Soho, totally unplanned 653 00:29:02,200 --> 00:29:04,400 Speaker 9: by the way, we shut down the street. It was incredible, 654 00:29:04,400 --> 00:29:06,600 Speaker 9: it was all over social went viral, and guess what 655 00:29:06,640 --> 00:29:09,560 Speaker 9: he personally loved it so much. He did in Dallas, 656 00:29:09,720 --> 00:29:12,040 Speaker 9: La went on and on, and then if you think 657 00:29:12,080 --> 00:29:14,800 Speaker 9: about the length of the tour and other things, guess what. 658 00:29:14,960 --> 00:29:17,400 Speaker 9: It's the things that he's passionate about. We co create 659 00:29:17,440 --> 00:29:21,320 Speaker 9: things with the artist, maybe fan centricity in mind, and 660 00:29:21,360 --> 00:29:24,480 Speaker 9: that's it, right, That authenticity I think carries through for fans. 661 00:29:24,560 --> 00:29:27,560 Speaker 4: There's also this balance though, when it comes to these experiences. 662 00:29:27,960 --> 00:29:30,320 Speaker 4: You want people to be able to access them, yes, 663 00:29:30,600 --> 00:29:34,400 Speaker 4: but you don't want too many people there, and you 664 00:29:34,440 --> 00:29:38,080 Speaker 4: mean the exclusivity parton exclusivity part, and we're seeing this 665 00:29:38,120 --> 00:29:39,560 Speaker 4: play out and I know this is not your purview 666 00:29:39,560 --> 00:29:41,280 Speaker 4: at annex where we're seeing this play out in airports 667 00:29:41,280 --> 00:29:43,560 Speaker 4: all over the country. Absolutely, with the changing rules around 668 00:29:43,600 --> 00:29:47,000 Speaker 4: airport lounges because they're just overrun with people post pandemic. 669 00:29:47,000 --> 00:29:48,960 Speaker 4: Given our demand to get out there, given our demand 670 00:29:49,040 --> 00:29:51,040 Speaker 4: to travel, how do you balance it? 671 00:29:51,240 --> 00:29:54,160 Speaker 9: Yeah, I mean well, I think this event is a 672 00:29:54,200 --> 00:29:57,360 Speaker 9: really great example of that we've got something for everyone, right, 673 00:29:57,360 --> 00:30:00,000 Speaker 9: We've got experiences like at the Fan Experience, the first 674 00:30:00,000 --> 00:30:02,640 Speaker 9: floor is completely dedicated to all fans, right, so the 675 00:30:02,680 --> 00:30:06,560 Speaker 9: glow tennis, the cryo fac you don't have to be 676 00:30:08,280 --> 00:30:11,600 Speaker 9: it's incredible, right Like, listen, like you think that that. 677 00:30:11,880 --> 00:30:15,760 Speaker 9: Listen like elite athletes, right, Like they use that for 678 00:30:15,840 --> 00:30:18,720 Speaker 9: their recovery. Well, guess what we are elite athletes. The 679 00:30:18,800 --> 00:30:21,000 Speaker 9: duration of the US Open tennis as well. And by 680 00:30:21,000 --> 00:30:22,400 Speaker 9: the way, I get the question like can I do 681 00:30:22,440 --> 00:30:23,200 Speaker 9: it over my makeup? 682 00:30:23,360 --> 00:30:23,640 Speaker 5: Yes? 683 00:30:24,280 --> 00:30:25,280 Speaker 9: Yes, it won't mess up your. 684 00:30:26,800 --> 00:30:29,520 Speaker 2: Now I'm like, so, just so can anybody walk in? 685 00:30:29,880 --> 00:30:30,800 Speaker 9: Anybody can walk in? 686 00:30:30,880 --> 00:30:31,000 Speaker 5: Now? 687 00:30:31,040 --> 00:30:33,000 Speaker 9: The second floor you ask about kind of like the 688 00:30:33,040 --> 00:30:36,040 Speaker 9: benefits right at different levels. You know, the upstairs is 689 00:30:36,040 --> 00:30:39,640 Speaker 9: for any card member, and then you get exclusives access 690 00:30:39,680 --> 00:30:44,600 Speaker 9: to things like the Lavazza espresso martini or the frozen 691 00:30:44,680 --> 00:30:45,440 Speaker 9: honey doo. 692 00:30:49,240 --> 00:30:50,120 Speaker 5: Right, so there's different. 693 00:30:50,320 --> 00:30:53,760 Speaker 9: And then if you think about Platinum or Centurion card members, 694 00:30:53,760 --> 00:30:56,520 Speaker 9: we have the Centurion Lounge and so that's a separate 695 00:30:56,600 --> 00:30:57,880 Speaker 9: area right again like. 696 00:30:58,600 --> 00:31:01,040 Speaker 4: Platinum, but you're definitely not sent do you know, just 697 00:31:01,080 --> 00:31:02,760 Speaker 4: so you know, because you wouldn't be sitting here with me. 698 00:31:02,920 --> 00:31:03,680 Speaker 4: You're a Centerian. 699 00:31:04,720 --> 00:31:05,560 Speaker 5: We can hook you up. 700 00:31:06,440 --> 00:31:09,080 Speaker 2: How do we get you in there? I know people, 701 00:31:09,240 --> 00:31:11,120 Speaker 2: I know people, No, but it's really cool. 702 00:31:11,120 --> 00:31:13,160 Speaker 3: Like I was thinking about the list we've said mixed 703 00:31:13,160 --> 00:31:14,280 Speaker 3: reality tennis GAMEE. 704 00:31:14,520 --> 00:31:16,800 Speaker 2: We talked about NFTs. Are you guys really selling NFTs? 705 00:31:16,840 --> 00:31:17,960 Speaker 9: Well, we're not selling them at all. 706 00:31:18,080 --> 00:31:18,160 Speaker 5: No. 707 00:31:18,280 --> 00:31:21,800 Speaker 9: Again, so actually the first floor the fan experience, and 708 00:31:21,880 --> 00:31:24,400 Speaker 9: so it comes in the form of like a digital collectible. Okay, 709 00:31:24,400 --> 00:31:27,280 Speaker 9: but like so there's one there, there's another somewhere else 710 00:31:27,320 --> 00:31:30,160 Speaker 9: here on the grounds. The more you collect, the more 711 00:31:30,400 --> 00:31:33,800 Speaker 9: offers and benefits it unlocks. And so you could be 712 00:31:34,000 --> 00:31:36,120 Speaker 9: a non card member and still collect them. If you're 713 00:31:36,120 --> 00:31:39,440 Speaker 9: a card member, it actually unlocks more benefits for you. 714 00:31:40,040 --> 00:31:42,840 Speaker 9: So there's some discounts and you know what. 715 00:31:42,720 --> 00:31:45,640 Speaker 4: You have, what card you have I've heard that before. 716 00:31:45,280 --> 00:31:47,600 Speaker 4: Are people you know, we talked though, you know at 717 00:31:47,640 --> 00:31:49,760 Speaker 4: the you know, with the with the crypto winter and 718 00:31:49,800 --> 00:31:54,360 Speaker 4: with the prices of cryptocurrencies coming down from all time 719 00:31:54,440 --> 00:31:56,520 Speaker 4: highs over the last couple of years, the interest in 720 00:31:56,640 --> 00:31:58,520 Speaker 4: NFTs is not what it was two years ago. Are 721 00:31:58,560 --> 00:31:59,840 Speaker 4: you still seeing adoption of this? 722 00:32:00,280 --> 00:32:02,800 Speaker 9: I think that those I think there is interest right, 723 00:32:02,840 --> 00:32:07,640 Speaker 9: and so I think there's you know, the creative behind 724 00:32:07,680 --> 00:32:10,520 Speaker 9: the actual collectible as well. There's a story to be 725 00:32:10,640 --> 00:32:12,960 Speaker 9: told there, there's a connection that we have. There's that, 726 00:32:13,080 --> 00:32:15,560 Speaker 9: and then there's a mural that all fans can also 727 00:32:15,600 --> 00:32:18,720 Speaker 9: participate in curating. So there's some connective dissue there. So 728 00:32:19,200 --> 00:32:21,000 Speaker 9: a lot of people love the art part of it. 729 00:32:21,200 --> 00:32:23,400 Speaker 9: But for us, I think there's something interesting, right because 730 00:32:23,640 --> 00:32:26,240 Speaker 9: as we think about again giving benefits and others to 731 00:32:26,320 --> 00:32:29,040 Speaker 9: card members, that connective tie back to So it's not 732 00:32:29,240 --> 00:32:31,440 Speaker 9: just about the collectible. If you're a card member, it 733 00:32:31,520 --> 00:32:33,760 Speaker 9: unlocks something for you more benefits. 734 00:32:33,880 --> 00:32:35,920 Speaker 3: Is it more competitive than ever when it comes to 735 00:32:35,960 --> 00:32:39,400 Speaker 3: having a card? I just think about the growth of cards. 736 00:32:39,280 --> 00:32:41,520 Speaker 4: The I mean it's competitive here. You have a competitor 737 00:32:41,560 --> 00:32:43,560 Speaker 4: here that's a sponsor with their own lounge Yeah. 738 00:32:43,360 --> 00:32:45,560 Speaker 9: They have their own lounge. I mean, listen, for us, 739 00:32:45,640 --> 00:32:47,800 Speaker 9: it's three sixty. I don't think you can walk very far. 740 00:32:47,920 --> 00:32:48,040 Speaker 2: Right. 741 00:32:48,080 --> 00:32:51,280 Speaker 9: Even the shopping bags have Amex on it. Every point 742 00:32:51,320 --> 00:32:53,960 Speaker 9: of sale has Amex on We have this Amex shop right. 743 00:32:53,840 --> 00:32:56,200 Speaker 2: Over here there. Exclusive merchandise we do. 744 00:32:56,280 --> 00:32:59,520 Speaker 9: We have exclusive merchandise both in the Amex shop as 745 00:32:59,560 --> 00:33:01,600 Speaker 9: well as in that car member lounge. We have a 746 00:33:01,600 --> 00:33:04,520 Speaker 9: partnership with Ralph Lauren and so you can get exclusive 747 00:33:04,600 --> 00:33:07,800 Speaker 9: customized merchandise from there that you can do right there, 748 00:33:07,880 --> 00:33:08,440 Speaker 9: purchase it. 749 00:33:08,560 --> 00:33:10,719 Speaker 2: I've seen it. I've been like it, you've done it before. 750 00:33:10,840 --> 00:33:13,320 Speaker 3: We have, and it's really cool and it's like you 751 00:33:13,360 --> 00:33:15,480 Speaker 3: see people just going in and doing it. I want 752 00:33:15,480 --> 00:33:17,080 Speaker 3: to go back to something Tim said, and I think 753 00:33:17,120 --> 00:33:20,240 Speaker 3: it asked or was thinking about, is just you do 754 00:33:20,320 --> 00:33:24,280 Speaker 3: this And obviously you guys choose sponsorships because in some 755 00:33:24,360 --> 00:33:26,280 Speaker 3: ways it's got to move the needle right or you 756 00:33:26,320 --> 00:33:29,840 Speaker 3: bring in new card members. Yes, what do you see 757 00:33:30,000 --> 00:33:32,160 Speaker 3: as a jump or boost? And I realized you can't 758 00:33:32,160 --> 00:33:35,480 Speaker 3: probably share everything, but what kind of gains do you 759 00:33:35,520 --> 00:33:36,680 Speaker 3: get games of card members? 760 00:33:36,760 --> 00:33:36,880 Speaker 5: Now? 761 00:33:36,920 --> 00:33:39,280 Speaker 9: Absolutely, I think just again going back to that high 762 00:33:39,360 --> 00:33:43,520 Speaker 9: level of building relationships right, building those connections. We do 763 00:33:43,640 --> 00:33:46,280 Speaker 9: see that for card members when they come out to 764 00:33:46,320 --> 00:33:49,520 Speaker 9: one of our experiences, they are more likely they're more 765 00:33:49,560 --> 00:33:52,160 Speaker 9: loyal and they're more engaged with our brand, which is great. 766 00:33:52,600 --> 00:33:54,920 Speaker 9: And then for prospects or people who are not car 767 00:33:55,000 --> 00:33:57,719 Speaker 9: members today, when they come out to experience us, they 768 00:33:57,760 --> 00:34:00,479 Speaker 9: are more likely to sign up for us with us 769 00:34:00,600 --> 00:34:02,640 Speaker 9: right as a card member. And at the end of 770 00:34:02,680 --> 00:34:05,640 Speaker 9: the day, it's that, right, you want better loyalty and 771 00:34:05,760 --> 00:34:08,640 Speaker 9: more right, more love from the customer base you have today, 772 00:34:09,120 --> 00:34:12,200 Speaker 9: and then you want your prospective customers to be, you know, 773 00:34:12,480 --> 00:34:15,120 Speaker 9: more willing to sign up with you. I mean, that's it. 774 00:34:15,200 --> 00:34:16,640 Speaker 3: But you're not going to give us a number, I know, 775 00:34:16,760 --> 00:34:18,839 Speaker 3: but you sign up a ton of people we do. 776 00:34:19,200 --> 00:34:21,040 Speaker 3: You know what how people who are like, how would 777 00:34:21,040 --> 00:34:21,640 Speaker 3: you quantify? 778 00:34:21,760 --> 00:34:23,319 Speaker 2: Yeah, if you can't give us a well, you know what, 779 00:34:23,360 --> 00:34:23,759 Speaker 2: how about this? 780 00:34:23,800 --> 00:34:24,600 Speaker 9: How about a trend? 781 00:34:24,680 --> 00:34:24,799 Speaker 6: Right? 782 00:34:25,040 --> 00:34:28,520 Speaker 9: We're talking about NFTs and other and or right like 783 00:34:28,560 --> 00:34:31,359 Speaker 9: the like the types of like even music relationships, right, 784 00:34:31,440 --> 00:34:33,680 Speaker 9: like when I talk about like a Ed Sheeran or 785 00:34:33,680 --> 00:34:36,319 Speaker 9: a Jack Harlow or actually we just announced to pop 786 00:34:36,400 --> 00:34:38,480 Speaker 9: up next week with Olivia Rodrigue. I mean that starts 787 00:34:38,520 --> 00:34:41,080 Speaker 9: to point to a certain demographic, right, and so I 788 00:34:41,120 --> 00:34:43,920 Speaker 9: would say that our millennial and gen Z customer base 789 00:34:44,280 --> 00:34:47,840 Speaker 9: that is the fastest growing like segment for us in 790 00:34:47,920 --> 00:34:50,680 Speaker 9: terms of consumer cards acquired, and that was I think 791 00:34:50,680 --> 00:34:52,640 Speaker 9: we just publicly announced that in Q two as well. 792 00:34:53,120 --> 00:34:54,719 Speaker 9: And so when you think about that, right, staying ahead 793 00:34:54,719 --> 00:34:57,160 Speaker 9: of those again, staying ahead of your trends, right, getting 794 00:34:57,160 --> 00:34:59,600 Speaker 9: in there early, you know, from a brand level, just 795 00:34:59,640 --> 00:35:01,920 Speaker 9: making sure that people, Yeah. 796 00:35:03,320 --> 00:35:05,880 Speaker 4: Go ahead on that. You want to talk about Jack Carlow, 797 00:35:09,239 --> 00:35:09,480 Speaker 4: But my. 798 00:35:09,520 --> 00:35:11,520 Speaker 2: Daughter who's twenty, I mean her first. 799 00:35:11,280 --> 00:35:15,839 Speaker 4: Card wasn't just loved to hear Jack Carlow is too, Pah, 800 00:35:16,920 --> 00:35:20,040 Speaker 4: She's let's say, you know, it's getting to the end 801 00:35:20,040 --> 00:35:22,879 Speaker 4: of the year, you're sitting down with your manager. How 802 00:35:22,880 --> 00:35:24,800 Speaker 4: do you prove that this was a successful event? 803 00:35:25,080 --> 00:35:26,839 Speaker 9: Yeah, I mean at the end of the day, there's 804 00:35:27,040 --> 00:35:29,120 Speaker 9: it's I mean, we do. We have a lot of data, 805 00:35:29,960 --> 00:35:32,400 Speaker 9: and so in terms of everything from right the number 806 00:35:32,520 --> 00:35:35,359 Speaker 9: number of people that have come by to engage with us, 807 00:35:35,600 --> 00:35:37,600 Speaker 9: it's some of those data points that I mentioned about 808 00:35:37,640 --> 00:35:40,920 Speaker 9: existing card members and prospective card members. In what that 809 00:35:41,040 --> 00:35:44,120 Speaker 9: starts to look like, we do a big comparison against right, 810 00:35:44,200 --> 00:35:47,000 Speaker 9: This is certainly an incredible, huge event that we invest in, 811 00:35:47,040 --> 00:35:49,920 Speaker 9: but we're everywhere else do right US Open Golf, NBA, 812 00:35:50,200 --> 00:35:52,719 Speaker 9: w NBA, all the music and festivals at things that 813 00:35:52,719 --> 00:35:55,160 Speaker 9: we've talked about. So yeah, it's about looking at that 814 00:35:55,320 --> 00:35:57,400 Speaker 9: have we surpassed last year's goals? Have we hit the 815 00:35:57,440 --> 00:35:58,719 Speaker 9: goals that we thought we were going to hit? 816 00:35:59,360 --> 00:35:59,600 Speaker 5: She says. 817 00:35:59,640 --> 00:36:01,239 Speaker 3: You know what thing I do think about because you 818 00:36:01,280 --> 00:36:04,279 Speaker 3: do have you know, the Green card, you have the 819 00:36:04,280 --> 00:36:05,839 Speaker 3: Gold card, you have the platinum, and then you go, 820 00:36:06,000 --> 00:36:08,680 Speaker 3: you know the card that I don't have, according to Tim, 821 00:36:08,800 --> 00:36:10,080 Speaker 3: and I don't. 822 00:36:09,880 --> 00:36:13,040 Speaker 2: Know what what do you stuff? 823 00:36:14,800 --> 00:36:15,200 Speaker 5: All right? 824 00:36:15,760 --> 00:36:18,360 Speaker 3: What I'm wondering is do you think about different events 825 00:36:18,560 --> 00:36:21,920 Speaker 3: events to kind of grow a specific card or is 826 00:36:21,920 --> 00:36:24,120 Speaker 3: it just you think about the whole business. 827 00:36:24,320 --> 00:36:28,120 Speaker 9: So for us, we are actually within the global brand organization, 828 00:36:28,239 --> 00:36:31,759 Speaker 9: So I think about the AMEX the brand globally and 829 00:36:31,800 --> 00:36:33,680 Speaker 9: so that's why I mentioned like Wimbledon and some of 830 00:36:33,719 --> 00:36:36,080 Speaker 9: the other events as well that we have around the world. 831 00:36:36,800 --> 00:36:38,880 Speaker 9: And then we have other product marketing teams that do 832 00:36:39,040 --> 00:36:41,440 Speaker 9: target and so if you think about things like we 833 00:36:41,520 --> 00:36:44,320 Speaker 9: have like by imitation only and some other like really 834 00:36:44,560 --> 00:36:46,960 Speaker 9: you know targeted, I would call it experiences that are 835 00:36:47,000 --> 00:36:50,279 Speaker 9: out there, and so yeah, it just depends on you know, 836 00:36:50,320 --> 00:36:52,360 Speaker 9: what that marketing plan might be across the board. 837 00:36:52,360 --> 00:36:54,279 Speaker 2: But like going after call it like my first card 838 00:36:54,280 --> 00:36:55,680 Speaker 2: was a green card. I don't know what your first. 839 00:36:56,040 --> 00:36:57,720 Speaker 3: Yeah, like I was, you know, as a college senior, 840 00:36:57,760 --> 00:37:00,759 Speaker 3: and you guys run campuses and stuff, so interesting, so 841 00:37:00,760 --> 00:37:02,760 Speaker 3: I'm just curious about like how you target it that way. 842 00:37:02,920 --> 00:37:06,319 Speaker 4: So the card member experience is certainly part of it, 843 00:37:06,360 --> 00:37:08,960 Speaker 4: but your presence here is also for clients, and there's 844 00:37:09,000 --> 00:37:12,279 Speaker 4: an entirely different side to American Express. Talk to me 845 00:37:12,280 --> 00:37:14,480 Speaker 4: about what happens behind the scenes in the box at 846 00:37:14,560 --> 00:37:16,839 Speaker 4: night and who you're entertaining and what goes on there. 847 00:37:16,960 --> 00:37:17,640 Speaker 2: Yeah, I mean. 848 00:37:17,520 --> 00:37:20,239 Speaker 9: It's pretty much simply like B to B hosting is 849 00:37:20,280 --> 00:37:22,520 Speaker 9: what I would call it in the most traditional sense. 850 00:37:22,560 --> 00:37:24,799 Speaker 9: But yeah, we do have a couple suites here. It's 851 00:37:24,840 --> 00:37:27,880 Speaker 9: incredible hosting, right and so you know, whether that be 852 00:37:27,960 --> 00:37:29,640 Speaker 9: for the day or the night session or other, it 853 00:37:29,680 --> 00:37:32,239 Speaker 9: gives you such a really incredible opportunity to just to 854 00:37:32,800 --> 00:37:35,640 Speaker 9: have time with your partners or perspective partners. And so 855 00:37:36,040 --> 00:37:38,440 Speaker 9: you know, everything that I've said on the consumer side 856 00:37:38,480 --> 00:37:41,000 Speaker 9: that still applies for the business side as well. 857 00:37:41,080 --> 00:37:43,279 Speaker 2: Can we And I'd love to wrap up with if 858 00:37:43,280 --> 00:37:44,120 Speaker 2: we can break. 859 00:37:43,880 --> 00:37:46,120 Speaker 3: The love Oh can you talk about this because I 860 00:37:46,120 --> 00:37:48,640 Speaker 3: think this is about access in anyway it is. 861 00:37:48,800 --> 00:37:51,080 Speaker 9: I mean, you know, the factoid there is that since 862 00:37:51,120 --> 00:37:55,000 Speaker 9: twenty twenty in the US tennis players have actually increased 863 00:37:55,000 --> 00:37:57,440 Speaker 9: by thirty three percent. And so when we started to 864 00:37:57,440 --> 00:37:57,759 Speaker 9: look at. 865 00:37:57,680 --> 00:37:59,840 Speaker 3: Those blows my mind a little bit, right, because everybody 866 00:37:59,880 --> 00:38:01,359 Speaker 3: was worried. I feel like, you know, oh my god, 867 00:38:01,480 --> 00:38:02,440 Speaker 3: where's the next generation? 868 00:38:02,960 --> 00:38:04,799 Speaker 9: And then also like if you think about at one point, 869 00:38:04,880 --> 00:38:06,719 Speaker 9: right they were like, oh, is it a COVID thing? 870 00:38:06,719 --> 00:38:09,200 Speaker 9: But actually no, it keeps growing. It's for three years 871 00:38:09,239 --> 00:38:11,719 Speaker 9: in a row. And then if you kind of stuck 872 00:38:11,800 --> 00:38:13,600 Speaker 9: on top of that, if you're in New York a right, 873 00:38:13,680 --> 00:38:15,759 Speaker 9: like sometimes it's harder to find a place to go 874 00:38:15,800 --> 00:38:18,400 Speaker 9: where you don't know where to go other and so 875 00:38:18,520 --> 00:38:22,840 Speaker 9: break the Law incredible platform. And it's also you know, 876 00:38:22,840 --> 00:38:24,560 Speaker 9: we would call it us We would consider a small 877 00:38:24,600 --> 00:38:27,920 Speaker 9: business diverse female owned, which is really incredible to support. 878 00:38:28,400 --> 00:38:31,120 Speaker 9: And they have a collective of all sorts of tennis 879 00:38:31,160 --> 00:38:34,279 Speaker 9: reservations that you can make like in all in many 880 00:38:34,320 --> 00:38:37,120 Speaker 9: demographics for US, we focused on New York again because 881 00:38:37,120 --> 00:38:39,680 Speaker 9: the US Open is here, But we have ten thousand 882 00:38:39,719 --> 00:38:43,160 Speaker 9: reservations on hold for card members for free. So for 883 00:38:43,600 --> 00:38:45,759 Speaker 9: a set month, we've got that available for all of 884 00:38:45,760 --> 00:38:47,919 Speaker 9: our card members. This our second year in a row. 885 00:38:48,400 --> 00:38:50,279 Speaker 9: Last year it was just, you know, it was like, hey, 886 00:38:50,280 --> 00:38:52,680 Speaker 9: we've got spots reserved for you. And what we learned 887 00:38:52,719 --> 00:38:55,239 Speaker 9: through that is people didn't want just the spots. They 888 00:38:55,280 --> 00:38:57,560 Speaker 9: wanted to take classes. They wanted to like take part 889 00:38:57,560 --> 00:38:59,680 Speaker 9: in things to make their tennis game better. So this 890 00:38:59,800 --> 00:39:01,759 Speaker 9: year we brought that on and so everything from like 891 00:39:01,800 --> 00:39:05,760 Speaker 9: a Wilson tennis racket fitting to like having classes and others. 892 00:39:05,760 --> 00:39:08,200 Speaker 9: So or if you just want to come play tennis, 893 00:39:08,280 --> 00:39:09,600 Speaker 9: we want you there as well. 894 00:39:09,760 --> 00:39:13,319 Speaker 4: So okay, five seconds. Yeah, your favorite event that you 895 00:39:13,360 --> 00:39:17,360 Speaker 4: do year round? Oh gosh, you can have favorite kids. 896 00:39:17,600 --> 00:39:20,160 Speaker 9: I mean thirty years. There's a reason why we're here. 897 00:39:20,640 --> 00:39:22,200 Speaker 9: This is like homecoming for MX. 898 00:39:22,239 --> 00:39:24,439 Speaker 2: I think, oh, that's a nice way I'm saying it. Hey, listen, 899 00:39:24,480 --> 00:39:25,240 Speaker 2: do you play tennis? 900 00:39:25,480 --> 00:39:29,080 Speaker 3: I don't, okay, and I don't play, but I love 901 00:39:29,120 --> 00:39:29,520 Speaker 3: the game. 902 00:39:29,640 --> 00:39:30,319 Speaker 2: I love the game. 903 00:39:30,480 --> 00:39:32,200 Speaker 4: I'm out here when the US Open is not going 904 00:39:32,239 --> 00:39:32,839 Speaker 4: on to play here. 905 00:39:34,440 --> 00:39:36,320 Speaker 2: She's thank you so much, be well, good luck with everything. 906 00:39:36,440 --> 00:39:37,080 Speaker 2: She's a Zuki. 907 00:39:37,160 --> 00:39:40,040 Speaker 3: She's VP of Global Brand Sponsorships and Experiential Marketing in 908 00:39:40,080 --> 00:39:40,759 Speaker 3: America's press. 909 00:39:40,840 --> 00:39:42,480 Speaker 2: Right here at the US. 910 00:39:42,400 --> 00:39:46,680 Speaker 1: Open, you're listening to the Bloomberg Business Week podcast. Catch 911 00:39:46,760 --> 00:39:50,120 Speaker 1: us Live weekday afternoons from three to six Eastern Listen 912 00:39:50,160 --> 00:39:53,640 Speaker 1: on Bloomberg dot com, the iHeartRadio app and the Bloomberg 913 00:39:53,680 --> 00:39:58,400 Speaker 1: Business app, or want us Live on YouTube. 914 00:39:59,320 --> 00:40:01,160 Speaker 3: You know, it's interesting is so much of what we 915 00:40:01,200 --> 00:40:02,919 Speaker 3: see on the courts here at the US Open often 916 00:40:02,960 --> 00:40:06,360 Speaker 3: look yeah, full of strength and athleticism, at many times 917 00:40:06,400 --> 00:40:09,200 Speaker 3: so effortless and graceful. But you know, you have seen 918 00:40:09,280 --> 00:40:13,120 Speaker 3: players who definitely get hurt, and we've definitely seen that, tim. 919 00:40:13,040 --> 00:40:16,080 Speaker 4: Yeah, we have. We actually even saw several players retire 920 00:40:16,160 --> 00:40:18,000 Speaker 4: early this year as a result of injuries that they 921 00:40:18,080 --> 00:40:19,680 Speaker 4: experienced during huge matches. 922 00:40:19,719 --> 00:40:22,359 Speaker 3: There's some extreme stresses and strains, and so someone who 923 00:40:22,400 --> 00:40:25,840 Speaker 3: has been working with athletes, many many others in general, 924 00:40:25,920 --> 00:40:28,000 Speaker 3: including me when it comes to our feet, is doctor 925 00:40:28,040 --> 00:40:30,440 Speaker 3: Rock Positano. He has been on the staff at the 926 00:40:30,440 --> 00:40:32,759 Speaker 3: Hospital for Special Surgery for more than thirty years. He's 927 00:40:32,840 --> 00:40:36,520 Speaker 3: director of the Joe DiMaggio Non surgical foot service excuse 928 00:40:36,560 --> 00:40:40,040 Speaker 3: me at the Hospital for Special Surgery. He's also an author. 929 00:40:40,080 --> 00:40:44,680 Speaker 3: We've talked about his book before here on Bloomberg Radio Rock. 930 00:40:44,800 --> 00:40:48,040 Speaker 3: It's great to have you here and you know him, 931 00:40:48,360 --> 00:40:51,439 Speaker 3: I do all you do. Thanks for being with us. 932 00:40:51,600 --> 00:40:54,080 Speaker 3: I think you and I feel like we had a cot. Well, 933 00:40:54,800 --> 00:40:56,239 Speaker 3: it's so great to have you and I feel like 934 00:40:56,239 --> 00:40:57,960 Speaker 3: we had a conversation. I always like to pick your 935 00:40:57,960 --> 00:41:01,239 Speaker 3: brain about, you know, footage reason you know, you do 936 00:41:01,320 --> 00:41:05,040 Speaker 3: work with athletes. When we think about the athletes that 937 00:41:05,120 --> 00:41:07,759 Speaker 3: play here, it does look so graceful at times, but 938 00:41:07,840 --> 00:41:11,320 Speaker 3: it is. They're athletes, and they a lot of stress 939 00:41:11,440 --> 00:41:14,160 Speaker 3: on their certainly on their feet, on their ankles. Talk 940 00:41:14,200 --> 00:41:16,160 Speaker 3: to us a little bit about what they are seeing 941 00:41:16,239 --> 00:41:17,120 Speaker 3: and what they are dealing with. 942 00:41:17,160 --> 00:41:17,719 Speaker 2: Sometimes. 943 00:41:19,280 --> 00:41:22,680 Speaker 10: Well, first of all, the pro tennis players are probably 944 00:41:23,400 --> 00:41:27,440 Speaker 10: the best trained, best conditioned of most of the athletes. 945 00:41:27,880 --> 00:41:30,120 Speaker 10: If you consider that some of these matches could go 946 00:41:30,239 --> 00:41:33,640 Speaker 10: four or five hours, it gives you some idea about 947 00:41:33,680 --> 00:41:37,920 Speaker 10: the stamina that they must have forget about breathing and 948 00:41:38,640 --> 00:41:41,920 Speaker 10: you know, and doing things like sweating profusely, I mean 949 00:41:42,120 --> 00:41:45,880 Speaker 10: muscular skeletally. It's a tremendous amount of stress and strained 950 00:41:45,960 --> 00:41:49,600 Speaker 10: on the bodies of these these superior athletes. 951 00:41:51,960 --> 00:41:54,600 Speaker 4: Why, you know, I made a comment to Carol Doctor 952 00:41:54,640 --> 00:41:57,080 Speaker 4: earlier this week. I was out here Tuesday night, and 953 00:41:57,120 --> 00:41:59,560 Speaker 4: this is you know, I barely even spend any time 954 00:41:59,600 --> 00:42:01,400 Speaker 4: in ash. I was out on the outer course. I 955 00:42:01,440 --> 00:42:03,000 Speaker 4: did see I should say, I did see VNS play 956 00:42:03,040 --> 00:42:06,759 Speaker 4: on Tuesday night. But one thing that we noticed over 957 00:42:06,800 --> 00:42:10,640 Speaker 4: and over again was almost every single player had taped 958 00:42:10,680 --> 00:42:13,840 Speaker 4: somewhere on their body, whether it was their ankles, whether 959 00:42:13,880 --> 00:42:14,880 Speaker 4: it was their wrists. 960 00:42:15,920 --> 00:42:20,719 Speaker 10: Why is that, Well, you know, Tim, that's a very 961 00:42:20,800 --> 00:42:25,000 Speaker 10: very good question. I mean, taping provides stability, It helps 962 00:42:25,080 --> 00:42:28,400 Speaker 10: to keep swelling down, a dema reduction we call it. 963 00:42:28,400 --> 00:42:30,200 Speaker 10: It gives them a better in the case of an 964 00:42:30,239 --> 00:42:33,880 Speaker 10: ankle strapping or footstrapping, better footing where they actually have 965 00:42:34,000 --> 00:42:36,879 Speaker 10: a better propulsion when they're trying to make a point. So, 966 00:42:37,320 --> 00:42:40,319 Speaker 10: in that respect, you know, taping is still one of 967 00:42:40,320 --> 00:42:44,000 Speaker 10: the most important parts of the sports medicine orthopedic practice. Okay, 968 00:42:44,000 --> 00:42:47,080 Speaker 10: and yet it looks very simple. But as we both know, 969 00:42:47,600 --> 00:42:49,400 Speaker 10: for three of us, I should say, no, you know, 970 00:42:49,440 --> 00:42:53,040 Speaker 10: there's nothing simple about taping. It's not just haphazardly placed 971 00:42:53,440 --> 00:42:57,400 Speaker 10: it's placed in areas where stress and strain could be reproduced, 972 00:42:58,040 --> 00:43:00,760 Speaker 10: areas where the muscles tendons in the leg it's insert, 973 00:43:00,840 --> 00:43:04,200 Speaker 10: or where the bones are going. So taping has become 974 00:43:04,440 --> 00:43:08,920 Speaker 10: really a very important part of any type of organized sports, 975 00:43:08,960 --> 00:43:12,640 Speaker 10: whether it be amateur sports or professional sports. So of 976 00:43:12,680 --> 00:43:16,080 Speaker 10: course taping has the same indications in other parts of 977 00:43:16,080 --> 00:43:19,239 Speaker 10: the body as well, in the hand, the shoulder, so 978 00:43:19,239 --> 00:43:21,560 Speaker 10: it just won is all over the place. Yeah, taping 979 00:43:21,640 --> 00:43:21,959 Speaker 10: is a. 980 00:43:22,280 --> 00:43:22,680 Speaker 9: Part of it. 981 00:43:24,280 --> 00:43:26,839 Speaker 4: So doctor, it's not necessarily indicative that there's been some 982 00:43:26,880 --> 00:43:29,160 Speaker 4: sort of injury there or there is some sort of 983 00:43:29,160 --> 00:43:32,240 Speaker 4: recovery taking place, you're saying. In some instances it actually 984 00:43:32,280 --> 00:43:34,040 Speaker 4: provides an advantage. 985 00:43:36,000 --> 00:43:39,040 Speaker 10: Yes, because it allows propulsion, which means you're able to 986 00:43:39,280 --> 00:43:42,080 Speaker 10: move on the book all a lot quicker. You're able 987 00:43:42,080 --> 00:43:44,400 Speaker 10: to go lateral on the court, or go back or forth. 988 00:43:44,480 --> 00:43:48,120 Speaker 10: So it gives you that little extra you know, jump, 989 00:43:48,200 --> 00:43:51,000 Speaker 10: so to speak. It's sort of like a full crumb, 990 00:43:51,000 --> 00:43:53,280 Speaker 10: you know. And I think in that respect they're able 991 00:43:53,280 --> 00:43:54,960 Speaker 10: to get a much better jump, and of course their 992 00:43:54,960 --> 00:43:57,160 Speaker 10: footing is better and then they are less likely to 993 00:43:57,200 --> 00:43:59,800 Speaker 10: invert their ankle or throw their heels out or whatever 994 00:43:59,800 --> 00:44:00,440 Speaker 10: may be so. 995 00:44:00,760 --> 00:44:00,960 Speaker 11: Yes. 996 00:44:01,040 --> 00:44:03,000 Speaker 10: So the answer to tech question is that it's also 997 00:44:03,200 --> 00:44:08,320 Speaker 10: used for again it's a benign form of performance enhancement. 998 00:44:10,880 --> 00:44:13,120 Speaker 3: So when you think about the intensity of the play, 999 00:44:13,160 --> 00:44:15,400 Speaker 3: you know, it's interesting, doctor Positano, that we talked with 1000 00:44:15,440 --> 00:44:17,360 Speaker 3: the folks at IBM, and they use a lot of 1001 00:44:17,440 --> 00:44:20,560 Speaker 3: data to give stats on the players and how they play, 1002 00:44:20,640 --> 00:44:22,840 Speaker 3: but they also you know, are tracking how fast the 1003 00:44:22,880 --> 00:44:25,960 Speaker 3: ball is moving. And it's just interesting how it just 1004 00:44:25,960 --> 00:44:28,799 Speaker 3: feels like things get you know, more ramped up. 1005 00:44:28,840 --> 00:44:29,640 Speaker 2: And whether it's. 1006 00:44:29,480 --> 00:44:32,880 Speaker 3: Tennis, whether it's football, whether a lot of sports, it 1007 00:44:32,920 --> 00:44:36,640 Speaker 3: does feel like the intensity of the play has just 1008 00:44:36,760 --> 00:44:40,080 Speaker 3: been increasing over time. And it also feels like the 1009 00:44:40,160 --> 00:44:43,560 Speaker 3: amount of injuries, or the intenseness of the injuries has 1010 00:44:43,600 --> 00:44:45,279 Speaker 3: also been ramped up. Talk to us a little bit 1011 00:44:45,280 --> 00:44:47,480 Speaker 3: about that just in professional sports more broadly. 1012 00:44:49,719 --> 00:44:52,839 Speaker 10: Well, look, again, conditioning is everything. I mean, I had 1013 00:44:52,880 --> 00:44:56,239 Speaker 10: the pleasure of knowing some very very world class athletes 1014 00:44:56,280 --> 00:44:58,640 Speaker 10: that played back in the forties and fifties, and they 1015 00:44:58,680 --> 00:45:01,840 Speaker 10: would say the same thing that they certainly did not 1016 00:45:02,080 --> 00:45:06,080 Speaker 10: have the analytics so to speak, or the technology available 1017 00:45:06,080 --> 00:45:08,360 Speaker 10: to them to stay in shape throughout the offseason or 1018 00:45:08,440 --> 00:45:11,520 Speaker 10: throughout the season. Itself, and I think that's a big 1019 00:45:11,560 --> 00:45:15,200 Speaker 10: part of why professional sports has changed, is because these 1020 00:45:15,400 --> 00:45:19,360 Speaker 10: are ways of making these players be able to be 1021 00:45:19,520 --> 00:45:23,240 Speaker 10: more effective in their play, but be provide a safer environment. 1022 00:45:23,640 --> 00:45:26,640 Speaker 10: They learn about certain types of things, certain types of 1023 00:45:27,120 --> 00:45:30,160 Speaker 10: athletic wear, whether it be a brace or in our case, 1024 00:45:30,200 --> 00:45:33,040 Speaker 10: a prescription foot orthosis that helps us stabilize the ankle. 1025 00:45:33,520 --> 00:45:35,480 Speaker 10: And I think that's a big part of what's happened 1026 00:45:35,480 --> 00:45:39,360 Speaker 10: with professional sports is that there is this technology which 1027 00:45:40,680 --> 00:45:44,600 Speaker 10: many times does help again performance enhancement as well as 1028 00:45:44,640 --> 00:45:45,400 Speaker 10: injury prevention. 1029 00:45:48,320 --> 00:45:51,239 Speaker 4: What can we learn as mere mortals from what the 1030 00:45:51,280 --> 00:45:54,279 Speaker 4: professionals do. Doctor, you see people each and every day 1031 00:45:54,960 --> 00:45:58,680 Speaker 4: who aren't necessarily professional athletes, who have recurring injuries of 1032 00:45:58,760 --> 00:46:00,920 Speaker 4: their feet. Do you give us. 1033 00:46:02,480 --> 00:46:05,400 Speaker 10: Well again? You know, having had the privilege of taking 1034 00:46:05,440 --> 00:46:09,840 Speaker 10: care of professional and elite athletes in all areas professional football, 1035 00:46:09,880 --> 00:46:14,160 Speaker 10: professional baseball, at the US Open, uh, I think the 1036 00:46:14,200 --> 00:46:17,280 Speaker 10: most important thing is not to overdo something, which means 1037 00:46:17,680 --> 00:46:21,440 Speaker 10: everyone gets inspired around Wimbledon or the US Open to 1038 00:46:21,440 --> 00:46:23,400 Speaker 10: go out and play a lot of tennis. And of 1039 00:46:23,400 --> 00:46:25,680 Speaker 10: course it makes people feel good because they watch these 1040 00:46:25,719 --> 00:46:28,040 Speaker 10: tennis players on the court or the baseball players on 1041 00:46:28,080 --> 00:46:29,879 Speaker 10: the field, and they think that they can go out 1042 00:46:29,920 --> 00:46:32,480 Speaker 10: there and just start to be full force. Well, it's 1043 00:46:32,520 --> 00:46:34,960 Speaker 10: not a good idea, I know that are sent to 1044 00:46:35,000 --> 00:46:39,279 Speaker 10: hear at HSS, we find that many of these injuries 1045 00:46:39,320 --> 00:46:42,120 Speaker 10: involving the foot and the ankle are really because these 1046 00:46:42,120 --> 00:46:45,040 Speaker 10: people are not conditioned, and particularly the areas of heal 1047 00:46:45,120 --> 00:46:48,440 Speaker 10: pain and achilles pain. And actually I had a conversation 1048 00:46:48,520 --> 00:46:51,960 Speaker 10: with someone recently about, you know, pickleball has become a 1049 00:46:52,080 --> 00:46:55,640 Speaker 10: very interesting, you know, type of a sport. You know, 1050 00:46:56,040 --> 00:46:58,480 Speaker 10: you know, I always kid around. I say that HSS 1051 00:46:58,560 --> 00:47:00,960 Speaker 10: is probably the mecca of pickle ball injuries of the 1052 00:47:00,960 --> 00:47:05,120 Speaker 10: Tri State air area, and you know, it's a form 1053 00:47:05,160 --> 00:47:08,600 Speaker 10: of racket sports. But again, you know, and I say 1054 00:47:08,640 --> 00:47:11,239 Speaker 10: this with all respect, I say, right now, we're in 1055 00:47:11,280 --> 00:47:14,040 Speaker 10: the middle of a pickle ball pandemic because we're seeing 1056 00:47:14,600 --> 00:47:17,200 Speaker 10: all of these people coming in, particularly in our area, 1057 00:47:17,800 --> 00:47:22,160 Speaker 10: with heel pain, achilles pain, I mean stress fractures. I 1058 00:47:22,160 --> 00:47:24,680 Speaker 10: have my colleagues in the Spine Service telling me the 1059 00:47:24,719 --> 00:47:28,640 Speaker 10: same thing that these these weekend warriors, whatever you want 1060 00:47:28,640 --> 00:47:30,600 Speaker 10: to call them, they're coming in out with backs brains 1061 00:47:30,640 --> 00:47:33,120 Speaker 10: because they have to make these quick dips so I 1062 00:47:33,160 --> 00:47:36,640 Speaker 10: think pickle ball has certainly established itself right now as 1063 00:47:36,680 --> 00:47:39,239 Speaker 10: being you know, a very popular sport. It's a lot 1064 00:47:39,280 --> 00:47:42,000 Speaker 10: of fun. But again it's one of those sports where 1065 00:47:42,080 --> 00:47:44,239 Speaker 10: you know, you know, it may be a smaller court, 1066 00:47:44,280 --> 00:47:47,800 Speaker 10: but with that smaller court unfortunately becomes bigger orthopedic problems. 1067 00:47:47,880 --> 00:47:49,920 Speaker 10: And we're seeing more and more of that, and I 1068 00:47:49,960 --> 00:47:53,120 Speaker 10: think the conditioning aspect him is what we're talking about here. 1069 00:47:54,520 --> 00:47:56,480 Speaker 2: Forgive me, I didn't mean to interrupt. Katrina Adams. 1070 00:47:56,520 --> 00:47:59,319 Speaker 3: You were talking with yesterday, former head of the USTA 1071 00:47:59,360 --> 00:48:03,040 Speaker 3: and of course professional tennis player, doubles player, and we 1072 00:48:03,320 --> 00:48:05,279 Speaker 3: kind of joked about pickleball and kind of made it 1073 00:48:05,280 --> 00:48:06,799 Speaker 3: sound like it was so easy, and she's like, it 1074 00:48:06,880 --> 00:48:07,440 Speaker 3: isn't easy. 1075 00:48:07,520 --> 00:48:10,120 Speaker 4: It's intense, and you know, yeah, but you don't see 1076 00:48:10,120 --> 00:48:11,120 Speaker 4: her out there playing pickle ball. 1077 00:48:11,239 --> 00:48:11,399 Speaker 5: No. 1078 00:48:11,440 --> 00:48:15,440 Speaker 12: But it's because well it speaks exactly well you know 1079 00:48:16,040 --> 00:48:19,320 Speaker 12: what people, you know, Carolyn tim With people don't realize 1080 00:48:19,360 --> 00:48:21,839 Speaker 12: is that even though it's a smaller court, Okay, it's 1081 00:48:21,840 --> 00:48:23,080 Speaker 12: a much faster game. 1082 00:48:23,719 --> 00:48:27,280 Speaker 10: There's more focus on the foot, the ankle. There's quicker pivots. 1083 00:48:27,320 --> 00:48:30,640 Speaker 10: You need quicker footwork too, And I think again you're 1084 00:48:30,640 --> 00:48:33,320 Speaker 10: more likely to rupture your achilles or tear your plant 1085 00:48:33,360 --> 00:48:36,640 Speaker 10: to faster or blow your knee out because you're not conditioned, 1086 00:48:36,680 --> 00:48:40,600 Speaker 10: and because your reaction time has to be significantly faster 1087 00:48:40,920 --> 00:48:45,080 Speaker 10: than when you're playing a nice game of civilized tennis, 1088 00:48:45,160 --> 00:48:46,920 Speaker 10: which is what you're seeing right now, when these players 1089 00:48:46,920 --> 00:48:49,080 Speaker 10: are hitting the ball one hundred and thirty miles an hour. 1090 00:48:49,440 --> 00:48:52,360 Speaker 10: So again, you know, pickleball is a great sport. But 1091 00:48:52,760 --> 00:48:55,640 Speaker 10: going back timp to your question about conditioning, that's a 1092 00:48:55,680 --> 00:48:58,279 Speaker 10: big mistake that people make. You just cannot go back 1093 00:48:58,320 --> 00:49:04,200 Speaker 10: on any sport, whether basketball, you know, tennis, you know football, whatever, 1094 00:49:04,280 --> 00:49:06,160 Speaker 10: and just think you're gonna go out there and play 1095 00:49:06,200 --> 00:49:08,719 Speaker 10: your heart out because again you're not conditioned to do that, 1096 00:49:08,800 --> 00:49:11,440 Speaker 10: which means your muscles tend look at at some bones 1097 00:49:12,200 --> 00:49:16,719 Speaker 10: are not accustomed to this type of a quick escalation, 1098 00:49:16,880 --> 00:49:17,560 Speaker 10: so to speak. 1099 00:49:19,360 --> 00:49:20,799 Speaker 3: All right, we're gonna have to leave it on there, 1100 00:49:21,160 --> 00:49:23,719 Speaker 3: Doctor Positano. Thank you so much for jumping in and 1101 00:49:24,040 --> 00:49:26,680 Speaker 3: talking with us. We so appreciate it. Doctor Rock Positano. 1102 00:49:26,719 --> 00:49:29,800 Speaker 3: He's director of the Joe DiMaggio Nonsurgical Foods Foot Service 1103 00:49:29,800 --> 00:49:32,400 Speaker 3: at the Hospital for Special Service Surgery. 1104 00:49:32,440 --> 00:49:32,960 Speaker 2: Excuse me. 1105 00:49:33,000 --> 00:49:36,239 Speaker 3: He's also the author of Dinner with Demaggio, which we 1106 00:49:36,280 --> 00:49:37,680 Speaker 3: talked about with him a few years ago. 1107 00:49:38,239 --> 00:49:41,719 Speaker 1: If you're listening to the Bloomberg Business Week podcast, catch 1108 00:49:41,800 --> 00:49:45,160 Speaker 1: us Live weekday afternoons from three to six Eastern Listen 1109 00:49:45,200 --> 00:49:48,680 Speaker 1: on Bloomberg dot com, the iHeartRadio app and the Bloomberg 1110 00:49:48,719 --> 00:49:52,160 Speaker 1: Business app, or wants us Live on YouTube. 1111 00:49:52,680 --> 00:49:54,640 Speaker 3: You remember that in June of twenty twenty one, the 1112 00:49:54,680 --> 00:49:57,840 Speaker 3: Supreme Court cleared the way for college athletes to benefit 1113 00:49:57,840 --> 00:49:59,799 Speaker 3: from the use of their name image and. 1114 00:49:59,840 --> 00:50:02,560 Speaker 2: Like, this is nil. We've talked about this before. 1115 00:50:02,600 --> 00:50:05,480 Speaker 3: Since then, twenty year olds have earned six, sometimes seven 1116 00:50:05,520 --> 00:50:09,640 Speaker 3: figures on such deals to shout out brands on Instagram, 1117 00:50:09,680 --> 00:50:11,839 Speaker 3: sign autographs, or hop on Zoom with a few fans. 1118 00:50:11,880 --> 00:50:14,399 Speaker 3: I mean, they're finally being able to make money off 1119 00:50:14,400 --> 00:50:16,000 Speaker 3: of their success at the college level. 1120 00:50:16,040 --> 00:50:18,520 Speaker 4: Here's the thing, though, Carol. Even though pro tennis players 1121 00:50:18,560 --> 00:50:20,399 Speaker 4: are some of the top earning athletes of all time, 1122 00:50:20,760 --> 00:50:24,359 Speaker 4: college tennis players are not the ones raking it in now. 1123 00:50:24,480 --> 00:50:27,120 Speaker 4: That's pretty much reserved for college football and basketball players. 1124 00:50:27,160 --> 00:50:29,800 Speaker 4: That's according to data from open Doors. It's a LinkedIn, 1125 00:50:29,840 --> 00:50:32,000 Speaker 4: Nebraska based marketing platform for athletes. 1126 00:50:32,000 --> 00:50:33,520 Speaker 3: All right, So let's get to it because Richard kat 1127 00:50:33,640 --> 00:50:36,880 Speaker 3: knows all about this. He's legal counsel and marketing consultant 1128 00:50:36,840 --> 00:50:40,520 Speaker 3: at Sanal student athlete name, image and likeness on the 1129 00:50:40,560 --> 00:50:44,000 Speaker 3: growth of what we are seeing in this in college 1130 00:50:44,000 --> 00:50:47,279 Speaker 3: sports specifically, he joins us on Zoom in Connecticut. He's 1131 00:50:47,320 --> 00:50:50,080 Speaker 3: also the author of tennis books, including feder and Nadal 1132 00:50:50,280 --> 00:50:52,919 Speaker 3: Inside the US Open and Roger Federer Are Back on Top. 1133 00:50:53,080 --> 00:50:55,000 Speaker 3: Needless to say, he loves the game of tennis, and 1134 00:50:55,040 --> 00:50:55,359 Speaker 3: I think. 1135 00:50:55,360 --> 00:50:58,600 Speaker 2: Yesterday you might have caught him behind us waving hello. 1136 00:50:58,800 --> 00:51:00,960 Speaker 3: We're sorry we didn't get to talk with you Richard 1137 00:51:01,239 --> 00:51:03,279 Speaker 3: in person, but so glad we could get to you here. 1138 00:51:03,680 --> 00:51:06,280 Speaker 11: How are you great? How are you guys? 1139 00:51:07,800 --> 00:51:09,319 Speaker 2: We're doing well. We're doing well. 1140 00:51:09,360 --> 00:51:12,400 Speaker 3: I mean it's another, you know, record year for the 1141 00:51:12,520 --> 00:51:15,799 Speaker 3: US Open in terms of participation. Tell us about your 1142 00:51:15,840 --> 00:51:19,440 Speaker 3: world though, and how things have continued to evolve since 1143 00:51:19,440 --> 00:51:20,880 Speaker 3: that Supreme Court ruling. 1144 00:51:21,920 --> 00:51:25,040 Speaker 13: Oh my goodness, Carol, it is the wild, wild West, 1145 00:51:25,080 --> 00:51:26,560 Speaker 13: and I emphasized the wordwild. 1146 00:51:26,960 --> 00:51:28,959 Speaker 11: The landscape changes every day. 1147 00:51:29,200 --> 00:51:33,360 Speaker 13: In the conference realignment that we saw this morning, you know, 1148 00:51:33,480 --> 00:51:35,920 Speaker 13: with Stanford and with cal and with. 1149 00:51:36,080 --> 00:51:38,160 Speaker 11: SMU joining the ACC. 1150 00:51:38,400 --> 00:51:41,440 Speaker 13: This is all derivative of what went on when the 1151 00:51:41,520 --> 00:51:45,439 Speaker 13: US Supreme Court decided that Austin case nine zero. Think 1152 00:51:45,440 --> 00:51:49,520 Speaker 13: about it, this factionalized Supreme Court decided a case nine 1153 00:51:49,719 --> 00:51:50,280 Speaker 13: to zero. 1154 00:51:52,320 --> 00:51:55,720 Speaker 4: Wow, okay, let's get back to the idea that tennis 1155 00:51:55,719 --> 00:51:58,400 Speaker 4: players are, you know, not the ones cashing in on this. 1156 00:51:58,600 --> 00:52:01,560 Speaker 4: As I said earlier, it's all football and basketball in 1157 00:52:01,640 --> 00:52:02,560 Speaker 4: college Why is that? 1158 00:52:04,440 --> 00:52:04,640 Speaker 5: You know? 1159 00:52:04,680 --> 00:52:09,800 Speaker 13: That's they're the revenue sports. Our methodology is indicated about 1160 00:52:09,840 --> 00:52:15,000 Speaker 13: seventy percent college football, twenty percent, men's basketball in ten 1161 00:52:15,040 --> 00:52:19,279 Speaker 13: percent the rest with lacrosse, soccer in women's basketball. So 1162 00:52:19,360 --> 00:52:21,640 Speaker 13: I can't even tell you if tennis is one percent 1163 00:52:21,719 --> 00:52:24,200 Speaker 13: of this paradigm. 1164 00:52:24,280 --> 00:52:26,560 Speaker 4: That's incredible given that here we are at the US 1165 00:52:26,600 --> 00:52:30,520 Speaker 4: Open Carol as John Worthim's going to remind us in 1166 00:52:30,600 --> 00:52:33,719 Speaker 4: just about an hour, maybe even less than an hour. Actually, yeah, 1167 00:52:33,960 --> 00:52:38,200 Speaker 4: this is the most attended sports event in the United States. 1168 00:52:39,239 --> 00:52:42,400 Speaker 4: Five of the top one hundred highest paid athletes of 1169 00:52:42,400 --> 00:52:44,760 Speaker 4: all time are tennis players. 1170 00:52:45,000 --> 00:52:46,560 Speaker 2: Right, So then why Roger. 1171 00:52:46,440 --> 00:52:48,920 Speaker 4: Fetter is a billionaire? He's earned a billion dollars, I 1172 00:52:48,920 --> 00:52:51,000 Speaker 4: should say not. I don't know if he's a billionaire, 1173 00:52:51,040 --> 00:52:55,719 Speaker 4: But why doesn't that translate to the to college and 1174 00:52:55,719 --> 00:52:56,680 Speaker 4: to the interesting college. 1175 00:52:58,000 --> 00:53:00,880 Speaker 13: Well, when we say the most attended sports event, the 1176 00:53:01,000 --> 00:53:04,560 Speaker 13: US Open is also an event which overshadows the fact 1177 00:53:04,560 --> 00:53:05,560 Speaker 13: that it's a tennis event. 1178 00:53:06,120 --> 00:53:07,520 Speaker 11: People go there to be seen. 1179 00:53:07,640 --> 00:53:10,440 Speaker 13: People go there to go to the restaurants, to go 1180 00:53:10,480 --> 00:53:12,759 Speaker 13: to the stores there as much as they go to 1181 00:53:12,800 --> 00:53:15,520 Speaker 13: see the good tennis. So I don't think you're going 1182 00:53:15,600 --> 00:53:18,600 Speaker 13: to be saying that about the events in let's say 1183 00:53:18,640 --> 00:53:22,320 Speaker 13: Atlanta or Washington, d C. Where the attendance is down. 1184 00:53:23,000 --> 00:53:25,440 Speaker 13: So that's just my comment about the US Open. It 1185 00:53:25,520 --> 00:53:29,799 Speaker 13: is a tremendous event foreshadowing a tremendous tennis tournament. But 1186 00:53:29,880 --> 00:53:32,960 Speaker 13: in terms of college tennis, yes, it's big in the SEC. 1187 00:53:33,719 --> 00:53:37,600 Speaker 13: Yes it's big in the ACC at some of the schools, 1188 00:53:37,840 --> 00:53:41,080 Speaker 13: but it's simply not a revenue sport. And to the 1189 00:53:41,160 --> 00:53:45,839 Speaker 13: extent that it is gaining nil money, you are. The 1190 00:53:45,880 --> 00:53:47,759 Speaker 13: good news is, and I think there's a player at 1191 00:53:47,800 --> 00:53:51,280 Speaker 13: Ohio State that this pertains to. You may be keeping 1192 00:53:51,360 --> 00:53:55,080 Speaker 13: kids in school a little bit longer than joining the 1193 00:53:55,120 --> 00:53:58,200 Speaker 13: actual pro tour because if they can make some nil money, 1194 00:53:58,360 --> 00:54:01,200 Speaker 13: they may stay in school another year, another year of college. 1195 00:54:01,400 --> 00:54:04,800 Speaker 11: Because college tennis is pretty rigorous at the highest level. 1196 00:54:06,719 --> 00:54:10,000 Speaker 3: Does Richard, does NIL money change depending on the school 1197 00:54:10,000 --> 00:54:13,320 Speaker 3: that you're at and that you play even with tennis? 1198 00:54:13,360 --> 00:54:17,080 Speaker 3: Does it matter the school that you're coming from. 1199 00:54:16,719 --> 00:54:19,919 Speaker 13: Carol, Let's make one thing clear. NIL money comes from 1200 00:54:19,960 --> 00:54:22,400 Speaker 13: the boosters. It does not come from the university. 1201 00:54:22,480 --> 00:54:23,000 Speaker 11: Yet. 1202 00:54:23,200 --> 00:54:26,800 Speaker 13: If we do this call in three years, the universities 1203 00:54:26,960 --> 00:54:30,520 Speaker 13: will be involved, they will be inculcated and Title nine 1204 00:54:30,600 --> 00:54:33,600 Speaker 13: might become an issue. Right now though, it's the booster money. 1205 00:54:34,000 --> 00:54:36,799 Speaker 13: So you're looking at the schools with the biggest boosters, 1206 00:54:36,840 --> 00:54:41,400 Speaker 13: the Michigans, the Alabamas, you know, maybe Kansas and Basketball 1207 00:54:41,480 --> 00:54:45,279 Speaker 13: that have most of the major NIL money flowing to 1208 00:54:45,360 --> 00:54:48,440 Speaker 13: the student athletes through a third party conduit. 1209 00:54:50,880 --> 00:54:54,400 Speaker 4: Hold on, you said, yet not yet from colleges the university. 1210 00:54:54,400 --> 00:54:54,919 Speaker 2: It's gonna happen. 1211 00:54:55,040 --> 00:54:56,160 Speaker 4: Yeah, what's going to happen. 1212 00:54:58,000 --> 00:55:00,520 Speaker 13: Two or three years down the road? Revenue you sharing, 1213 00:55:00,719 --> 00:55:04,080 Speaker 13: We're going to see a piece of the TV contract. 1214 00:55:04,160 --> 00:55:07,200 Speaker 13: Let's take the Big Ten. I'm a Wrecktgers person. Rutgers 1215 00:55:07,320 --> 00:55:12,080 Speaker 13: gets on one hundred million dollars from the Big Ten. 1216 00:55:12,480 --> 00:55:14,959 Speaker 13: Most of that is TV revenue. You're going to see 1217 00:55:14,960 --> 00:55:18,439 Speaker 13: between five and ten, five and twelve percent let's say 1218 00:55:18,719 --> 00:55:20,759 Speaker 13: of that going to the student athletes. 1219 00:55:21,239 --> 00:55:22,239 Speaker 11: And you're also going to. 1220 00:55:22,239 --> 00:55:26,719 Speaker 13: See the conclusion of a lawsuit that's pending in the 1221 00:55:26,719 --> 00:55:30,720 Speaker 13: federal system in the third circuit, in which student athletes 1222 00:55:30,760 --> 00:55:35,080 Speaker 13: are suing to become employees of the university. In other words, 1223 00:55:35,239 --> 00:55:38,800 Speaker 13: I work thirty hours a week on the football field 1224 00:55:38,880 --> 00:55:42,400 Speaker 13: for you, mister university, and my counterpart, who works thirty 1225 00:55:42,440 --> 00:55:46,920 Speaker 13: hours in the library for your university, mister university, gets paid. 1226 00:55:47,239 --> 00:55:48,800 Speaker 11: So why shouldn't I get paid? 1227 00:55:48,840 --> 00:55:52,759 Speaker 13: Why shouldn't I have workers comp And that's gonna that's 1228 00:55:52,800 --> 00:55:54,600 Speaker 13: going to be decided in a year or so. 1229 00:55:55,120 --> 00:55:56,240 Speaker 11: Every one of these decisis. 1230 00:55:56,239 --> 00:55:59,080 Speaker 4: Maybe the university would say you're getting a free education. 1231 00:56:00,360 --> 00:56:03,000 Speaker 11: Absolutely, but that's just one part of it. 1232 00:56:03,160 --> 00:56:05,719 Speaker 13: You're getting the free and that was the argument by 1233 00:56:05,760 --> 00:56:09,960 Speaker 13: the NC double A lawyer and Justice Kavan law Skeward 1234 00:56:10,200 --> 00:56:11,839 Speaker 13: absolutely skewered that. 1235 00:56:11,800 --> 00:56:14,640 Speaker 11: Lawyer saying, yeah, you're getting a free education. 1236 00:56:14,920 --> 00:56:18,239 Speaker 13: And Nick Saban is making twelve million dollars at the time, 1237 00:56:18,320 --> 00:56:21,920 Speaker 13: Mike Krushevski, who was coaching at Duke, was making nine million, 1238 00:56:22,000 --> 00:56:24,840 Speaker 13: and Mark Emrit, the NC double A president, was making 1239 00:56:24,920 --> 00:56:28,279 Speaker 13: three point five million. So yeah, that's nice that you're 1240 00:56:28,280 --> 00:56:31,719 Speaker 13: getting a free education. But you're also paying these coaches 1241 00:56:31,920 --> 00:56:34,759 Speaker 13: loads of money, and loads of money's going into the 1242 00:56:34,880 --> 00:56:35,920 Speaker 13: university coffers. 1243 00:56:38,040 --> 00:56:39,839 Speaker 2: You know, Richard, I wish you had more time. 1244 00:56:39,880 --> 00:56:42,160 Speaker 3: This is really a big topic, and as you said, 1245 00:56:42,200 --> 00:56:44,040 Speaker 3: it's going to continue to evolve. 1246 00:56:43,640 --> 00:56:47,640 Speaker 2: And hopefully it gets certainly more fair. 1247 00:56:47,560 --> 00:56:51,000 Speaker 3: If you will, to the actually athletes, the college athletes 1248 00:56:51,040 --> 00:56:52,839 Speaker 3: that are that are doing all. 1249 00:56:52,719 --> 00:56:55,680 Speaker 4: Our po still winning on my Division III tennis checks 1250 00:56:55,680 --> 00:56:59,640 Speaker 4: from Colby College for the three years I played there. Yeah, 1251 00:56:59,640 --> 00:57:03,640 Speaker 4: we didn't really attract many fans, Carol, I'll be honest, Richard. 1252 00:57:03,360 --> 00:57:05,600 Speaker 2: We got to run. Hopefully next time it'll be in person. 1253 00:57:05,719 --> 00:57:06,239 Speaker 2: Richard can't. 1254 00:57:06,239 --> 00:57:09,680 Speaker 3: He's a little counsel in marketing consultant. H as we said, 1255 00:57:10,160 --> 00:57:13,439 Speaker 3: covers the name, image and likeness world when it comes 1256 00:57:13,480 --> 00:57:15,560 Speaker 3: to college sports. Will be giving us some great insight. 1257 00:57:15,640 --> 00:57:18,680 Speaker 3: Joining us on zoom from Connecticut, Carol Masser along with 1258 00:57:18,760 --> 00:57:19,600 Speaker 3: Tim stand Victim. 1259 00:57:19,680 --> 00:57:21,760 Speaker 4: Still waiting for this check, waiting for the checks. I'll 1260 00:57:21,800 --> 00:57:22,560 Speaker 4: be waiting for a long time. 1261 00:57:22,600 --> 00:57:23,120 Speaker 2: I heard him. 1262 00:57:23,320 --> 00:57:28,560 Speaker 11: Maybe I'm brother Marco. 1263 00:57:30,280 --> 00:57:30,760 Speaker 4: Journal. 1264 00:57:31,760 --> 00:57:32,760 Speaker 12: How about you let me drive? 1265 00:57:33,000 --> 00:57:38,360 Speaker 10: Oh no, no, no, no, honey, please, I'll do the riding gravel. 1266 00:57:38,920 --> 00:57:40,280 Speaker 10: Let's mate, I want to try it. 1267 00:57:42,560 --> 00:57:43,440 Speaker 9: It's the question. 1268 00:57:47,240 --> 00:57:50,440 Speaker 1: This is the drive to the globe? 1269 00:57:49,360 --> 00:57:51,280 Speaker 11: Done well by around? 1270 00:57:51,440 --> 00:57:51,760 Speaker 2: Should it? 1271 00:57:51,880 --> 00:57:53,680 Speaker 1: On Bloomberg Radio? 1272 00:57:55,240 --> 00:57:58,160 Speaker 3: All right, everybody, we've got just about eighteen minutes left 1273 00:57:58,160 --> 00:58:00,680 Speaker 3: in today's trading session, getting ready to wrap up this 1274 00:58:01,400 --> 00:58:04,880 Speaker 3: job's Friday, if you will, first trading day though in 1275 00:58:04,880 --> 00:58:07,760 Speaker 3: the month of September, but also wrapping up the week overall. 1276 00:58:08,160 --> 00:58:10,360 Speaker 4: And yeah, so far, up three tenths of one percent 1277 00:58:10,440 --> 00:58:12,040 Speaker 4: on the Dow Jones, the S and B five hundred 1278 00:58:12,080 --> 00:58:13,680 Speaker 4: up about one tenth of one percent. We got the 1279 00:58:13,720 --> 00:58:15,960 Speaker 4: Nasdaq in the red. Go Carol down one tenth of 1280 00:58:16,040 --> 00:58:16,600 Speaker 4: one percent. 1281 00:58:16,760 --> 00:58:18,439 Speaker 2: All right, so let's get to it. We've got David 1282 00:58:18,440 --> 00:58:18,960 Speaker 2: Dits with us. 1283 00:58:19,000 --> 00:58:22,200 Speaker 3: He is a tennis fan back with us, senior portfolio 1284 00:58:22,200 --> 00:58:25,400 Speaker 3: strategist at Peapack Private Wealth Management, a friend of the show. 1285 00:58:25,440 --> 00:58:28,040 Speaker 3: Ten point seven billion in assets under management with us 1286 00:58:28,280 --> 00:58:29,320 Speaker 3: at the US Open. 1287 00:58:29,400 --> 00:58:30,920 Speaker 2: Nice to see you back here. 1288 00:58:31,280 --> 00:58:33,040 Speaker 4: Pleasure to be with you guys in person. 1289 00:58:33,160 --> 00:58:34,920 Speaker 2: Well, thank you. Yeah, it is nice to do stuff 1290 00:58:34,960 --> 00:58:37,280 Speaker 2: right face to face. Talk to us. 1291 00:58:37,400 --> 00:58:40,920 Speaker 3: Let's go about the market environment and the jobs market. 1292 00:58:41,120 --> 00:58:44,000 Speaker 3: How does it significantly, if at all, change your thinking 1293 00:58:44,000 --> 00:58:46,320 Speaker 3: about what goes on in financial markets right now? 1294 00:58:46,520 --> 00:58:49,240 Speaker 4: Well, certainly. I think we've got a Goldilocks support this morning. 1295 00:58:49,480 --> 00:58:50,760 Speaker 2: Oh you know what that means? We all have to 1296 00:58:50,800 --> 00:58:51,360 Speaker 2: drink a shot. 1297 00:58:51,800 --> 00:58:54,480 Speaker 4: There we go, it's Friday afternoon. It's actually true. 1298 00:58:54,880 --> 00:58:58,080 Speaker 2: Everybody keeps it. It's a goldilocks report, you know. 1299 00:58:58,280 --> 00:58:59,760 Speaker 4: And so we had job creation. 1300 00:59:00,040 --> 00:59:04,280 Speaker 6: But on the other hand, the unemployment number went up 1301 00:59:05,000 --> 00:59:07,000 Speaker 6: to three five to three eight, which means people are 1302 00:59:07,000 --> 00:59:08,520 Speaker 6: coming back into the labor force. 1303 00:59:08,640 --> 00:59:09,440 Speaker 4: Why is that good. 1304 00:59:09,640 --> 00:59:12,680 Speaker 6: It's gonna you know, keep wage growth down if more 1305 00:59:12,720 --> 00:59:15,040 Speaker 6: people get off the sidelines. Also, of course, there was 1306 00:59:15,080 --> 00:59:17,680 Speaker 6: one hundred and ten thousand jobs revived down off of 1307 00:59:17,720 --> 00:59:18,120 Speaker 6: the two ap. 1308 00:59:18,080 --> 00:59:20,400 Speaker 2: Process revisions are actually really important, I think. 1309 00:59:20,480 --> 00:59:24,200 Speaker 6: Yeah, absolutely, When you factor those into into what we 1310 00:59:24,240 --> 00:59:26,760 Speaker 6: had seen was the dip from July to August in 1311 00:59:26,840 --> 00:59:29,360 Speaker 6: terms of jobs created, we are definitely seeing a cooling. 1312 00:59:29,520 --> 00:59:31,480 Speaker 6: And I think it's enough for the FED definitely to 1313 00:59:31,520 --> 00:59:34,360 Speaker 6: be on the sidelines in September. It's not enough for 1314 00:59:34,400 --> 00:59:36,840 Speaker 6: them to say, hey, it's victory, We're done. 1315 00:59:36,960 --> 00:59:39,360 Speaker 4: It's just one metric, okay, So what are the metrics 1316 00:59:39,400 --> 00:59:41,960 Speaker 4: that will make the FED say, okay, victory, we're done. 1317 00:59:42,480 --> 00:59:45,919 Speaker 6: Well, you know, we're going to have the CPI later 1318 00:59:46,000 --> 00:59:48,600 Speaker 6: this month. That, of course, is the exact metrics that 1319 00:59:48,600 --> 00:59:51,560 Speaker 6: they're looking for. They want that inflation rate to come 1320 00:59:51,560 --> 00:59:54,160 Speaker 6: back down to two percent. It's moving in the right direction, 1321 00:59:54,320 --> 00:59:56,280 Speaker 6: but at any time, of course, we could get a 1322 00:59:56,360 --> 00:59:58,880 Speaker 6: bad print. We've seen a sprint of consumer spending. People 1323 00:59:58,920 --> 01:00:01,560 Speaker 6: wanted to go see or Swift and some of the 1324 01:00:01,600 --> 01:00:04,280 Speaker 6: other goodies as best. Um, so we've seen some great spending. 1325 01:00:04,400 --> 01:00:07,040 Speaker 6: On the other hand, we do know that the kiddies 1326 01:00:07,120 --> 01:00:09,600 Speaker 6: that the consumer had built up during the pandemic, they're 1327 01:00:09,640 --> 01:00:12,880 Speaker 6: starting to dwindle down. Wage growth is starting to slow, 1328 01:00:12,960 --> 01:00:15,680 Speaker 6: so we're probably going to see some slowing and consumer spending, 1329 01:00:15,680 --> 01:00:17,560 Speaker 6: and I think that's going to give the FED confidence 1330 01:00:17,600 --> 01:00:18,560 Speaker 6: to not be as aggressive. 1331 01:00:18,680 --> 01:00:20,560 Speaker 3: David, what do you think we spend too much time 1332 01:00:20,600 --> 01:00:22,240 Speaker 3: talking about? And what do you think we should be 1333 01:00:22,280 --> 01:00:24,040 Speaker 3: spending a lot of time talking about when it comes 1334 01:00:24,080 --> 01:00:25,160 Speaker 3: to the markets right now? 1335 01:00:25,360 --> 01:00:29,040 Speaker 6: Yeah, absolutely, Well, you know, I think that number one, 1336 01:00:29,080 --> 01:00:34,560 Speaker 6: of course is inflation, because inflation depresses profit margins to 1337 01:00:34,720 --> 01:00:36,600 Speaker 6: inflation makes it tough for consumer to spend. 1338 01:00:36,720 --> 01:00:39,040 Speaker 4: So what are we spending too much time talking about? 1339 01:00:39,400 --> 01:00:42,120 Speaker 6: Probably what happened in the last month in terms of 1340 01:00:42,160 --> 01:00:44,760 Speaker 6: the market. I think you do need to take a 1341 01:00:44,840 --> 01:00:47,800 Speaker 6: longer term point of view. And of course what I 1342 01:00:47,880 --> 01:00:50,640 Speaker 6: really don't like is all the talk on the AI, 1343 01:00:50,880 --> 01:00:53,520 Speaker 6: because you know, I've been around the block before here 1344 01:00:53,720 --> 01:00:55,840 Speaker 6: and AI is going to make us so productive, it's 1345 01:00:55,880 --> 01:00:57,680 Speaker 6: going to be in take decades, you know. 1346 01:00:57,920 --> 01:00:59,600 Speaker 4: And a lot of this has already been priced in 1347 01:01:00,120 --> 01:01:01,920 Speaker 4: the two hundred percent run up in video this year. 1348 01:01:01,920 --> 01:01:04,440 Speaker 4: Two hundred plus percent run up, I should say, warranted 1349 01:01:04,520 --> 01:01:06,520 Speaker 4: or not warranted, you know. 1350 01:01:06,440 --> 01:01:08,120 Speaker 6: I think it's gonna be very tough to make money 1351 01:01:08,160 --> 01:01:10,920 Speaker 6: from these levels. Sure, and Vidia is going to do 1352 01:01:11,040 --> 01:01:13,720 Speaker 6: wonders with their chip design for AI, but everyone in 1353 01:01:13,720 --> 01:01:15,440 Speaker 6: the world is going to be trying to match. 1354 01:01:15,240 --> 01:01:16,680 Speaker 4: Them with those same types of chips. 1355 01:01:16,800 --> 01:01:18,960 Speaker 6: We saw a lot of this in the Cisco run 1356 01:01:19,040 --> 01:01:21,400 Speaker 6: up in the late nineties, where the second. 1357 01:01:21,040 --> 01:01:22,640 Speaker 4: Person just in the last couple of days Carol to 1358 01:01:22,640 --> 01:01:25,920 Speaker 4: talk about the late NW. I know, here's what I said, 1359 01:01:26,160 --> 01:01:28,640 Speaker 4: Here's what I said yesterday. But so is this is 1360 01:01:28,680 --> 01:01:30,160 Speaker 4: this pets dot Com all over again? 1361 01:01:30,760 --> 01:01:33,200 Speaker 6: No, they haven't genuine business. Pest dot Com had you know, 1362 01:01:33,240 --> 01:01:34,640 Speaker 6: no revenues, no earning, but. 1363 01:01:34,800 --> 01:01:36,000 Speaker 2: They did have a sockarpet. 1364 01:01:36,160 --> 01:01:41,200 Speaker 6: Yeah, exactly, excuse exactly, So no sis go to real business, 1365 01:01:41,240 --> 01:01:42,840 Speaker 6: and Vidia has a real business. The problem is the 1366 01:01:42,880 --> 01:01:44,680 Speaker 6: competition is going to come in and I think at 1367 01:01:44,680 --> 01:01:47,000 Speaker 6: this point, you know, you talk about twenty five times 1368 01:01:47,000 --> 01:01:47,920 Speaker 6: not earning sales. 1369 01:01:47,960 --> 01:01:48,680 Speaker 4: That's expensive. 1370 01:01:49,040 --> 01:01:53,520 Speaker 3: Except if AI does pan out to be akin to 1371 01:01:53,560 --> 01:01:56,760 Speaker 3: something like the growth of the Internet. And to be fair, 1372 01:01:56,800 --> 01:01:58,680 Speaker 3: AI not a new thing. It's been around. This is 1373 01:01:58,760 --> 01:02:01,200 Speaker 3: just taking it to another level. We've done segments on 1374 01:02:01,280 --> 01:02:04,000 Speaker 3: quantum computing and like it all plays in. Like I 1375 01:02:04,000 --> 01:02:05,840 Speaker 3: think about how much the Internet is a part of 1376 01:02:05,880 --> 01:02:08,120 Speaker 3: our world now right we just take it for granted. 1377 01:02:08,360 --> 01:02:09,880 Speaker 3: In the early days, I think we were still trying 1378 01:02:09,880 --> 01:02:12,520 Speaker 3: to figure it out. There is the possibility that this 1379 01:02:12,600 --> 01:02:19,080 Speaker 3: is something that really does, right exponentially impact productivity growth, 1380 01:02:19,400 --> 01:02:22,960 Speaker 3: maybe new avenues. I just right, like we have to 1381 01:02:23,000 --> 01:02:24,720 Speaker 3: be kind of smarter at about it. 1382 01:02:24,760 --> 01:02:26,840 Speaker 6: But there's investors. The question is how do I make 1383 01:02:26,960 --> 01:02:28,760 Speaker 6: money from it? And often it is some of the 1384 01:02:28,840 --> 01:02:32,400 Speaker 6: ancellar businesses that can most use AI. For example, why 1385 01:02:32,400 --> 01:02:36,560 Speaker 6: are we seeing that strike in the film industry because 1386 01:02:36,640 --> 01:02:39,280 Speaker 6: those actors and actresses think that they may be out 1387 01:02:39,320 --> 01:02:41,760 Speaker 6: of work because of AI. So maybe some of the 1388 01:02:41,840 --> 01:02:44,360 Speaker 6: media companies which have been beaten down look disneys at 1389 01:02:44,400 --> 01:02:47,200 Speaker 6: what a multi decade low or something like that may 1390 01:02:47,280 --> 01:02:49,000 Speaker 6: be able to take advantage of AI. So maybe you 1391 01:02:49,000 --> 01:02:51,160 Speaker 6: should look at the people who make the picks and 1392 01:02:51,200 --> 01:02:52,720 Speaker 6: shovels and not the actual gold miners. 1393 01:02:52,800 --> 01:02:54,640 Speaker 2: Can we talk stocks because we only have about a couple 1394 01:02:54,680 --> 01:02:56,400 Speaker 2: of minutes left here? Because you do like. 1395 01:02:56,360 --> 01:02:58,960 Speaker 3: Some names that are very familiar to our audience. Pfizer, 1396 01:02:59,240 --> 01:03:01,280 Speaker 3: it's down about their twenty percent so far this year. 1397 01:03:01,320 --> 01:03:04,840 Speaker 3: I'm thinking about the Medicare price negotiations impact. Some of 1398 01:03:04,840 --> 01:03:06,880 Speaker 3: Pfizer's drugs are part of that. Also, they had a 1399 01:03:06,880 --> 01:03:09,480 Speaker 3: plant damaged by a tornado that's maybe going to be 1400 01:03:09,520 --> 01:03:10,800 Speaker 3: back up and running in. 1401 01:03:10,760 --> 01:03:12,520 Speaker 2: The fourth quarter. Why do you like this one? Is 1402 01:03:12,560 --> 01:03:13,480 Speaker 2: it a valuation call? 1403 01:03:14,000 --> 01:03:16,479 Speaker 6: Well, I mean Pfiser is one of the top blue 1404 01:03:16,560 --> 01:03:19,320 Speaker 6: ship pharmaceutical companies, and of course they'd have a strong 1405 01:03:19,440 --> 01:03:21,840 Speaker 6: R and D pipeline. But what makes them even better 1406 01:03:22,120 --> 01:03:25,160 Speaker 6: is that their marketing efforts not just in this country, worldwide. 1407 01:03:25,200 --> 01:03:26,200 Speaker 4: They had the best sales for us. 1408 01:03:26,240 --> 01:03:29,040 Speaker 6: That's why buying TAC who had that vaccine came to 1409 01:03:29,080 --> 01:03:31,480 Speaker 6: Pfizers so they could get off the ground. So right 1410 01:03:31,520 --> 01:03:33,520 Speaker 6: now Five's is being treated as like a one trick 1411 01:03:33,560 --> 01:03:36,240 Speaker 6: COVID pony. But we know there's so much more. But 1412 01:03:36,360 --> 01:03:39,680 Speaker 6: valuation is strong. Eleven times earnings when the market's knocking on, 1413 01:03:39,760 --> 01:03:42,560 Speaker 6: twenty four and a half percent dividend when the market 1414 01:03:42,600 --> 01:03:45,520 Speaker 6: one and a half. Yeah, and so you know, I 1415 01:03:45,560 --> 01:03:49,160 Speaker 6: think that since with the COVID proceeds, they bought about 1416 01:03:49,160 --> 01:03:51,680 Speaker 6: eight different companies, including Cgen, which is not closed. So 1417 01:03:51,680 --> 01:03:53,000 Speaker 6: I think they're going to have some things that really 1418 01:03:53,040 --> 01:03:56,840 Speaker 6: surprise us. In terms of the medicare negotiations, lists and 1419 01:03:56,880 --> 01:03:59,160 Speaker 6: so forth. That's not a positive to the industry, But 1420 01:03:59,200 --> 01:04:01,960 Speaker 6: in terms of the one drug that they thought was 1421 01:04:02,000 --> 01:04:03,760 Speaker 6: going to be part of the negotiations was not. 1422 01:04:03,920 --> 01:04:04,920 Speaker 4: I can hardly pronounce this. 1423 01:04:05,000 --> 01:04:06,560 Speaker 6: I'm not going to try to you right now, but the 1424 01:04:06,600 --> 01:04:08,760 Speaker 6: point is that I think a lot of that is priced. 1425 01:04:08,960 --> 01:04:11,360 Speaker 6: Of course, all eyes are in next year's elections. We'll 1426 01:04:11,400 --> 01:04:13,200 Speaker 6: see how it works out. But there's a lot of 1427 01:04:13,240 --> 01:04:16,440 Speaker 6: the industry and people who are against that in negotiations 1428 01:04:16,440 --> 01:04:17,680 Speaker 6: and effective price controls. 1429 01:04:17,760 --> 01:04:20,320 Speaker 4: Okay, before we let you go, one more stock citizens 1430 01:04:20,360 --> 01:04:23,360 Speaker 4: financial down twenty seven year, twenty seven percent year to day, 1431 01:04:24,000 --> 01:04:24,880 Speaker 4: Why are you bullish? 1432 01:04:25,000 --> 01:04:27,960 Speaker 6: Yeah, so a lot of babies have been thrown out 1433 01:04:28,040 --> 01:04:31,800 Speaker 6: with the regional bank, smaller bank, Bathwater Citizens Financials. That's 1434 01:04:31,800 --> 01:04:34,520 Speaker 6: been around since eighteen twenty eight, the Civil War, the 1435 01:04:34,600 --> 01:04:38,480 Speaker 6: Great Depression. It has been through trials and tribulations before. Meanwhile, 1436 01:04:38,480 --> 01:04:42,240 Speaker 6: of course it's got eleven states, five million customers, and 1437 01:04:42,520 --> 01:04:45,280 Speaker 6: some of those relationships cannot be duplicated. You got a 1438 01:04:45,320 --> 01:04:47,480 Speaker 6: six and a half percent dividend. I think if they 1439 01:04:47,480 --> 01:04:49,120 Speaker 6: just get up to one times book value, you go 1440 01:04:49,200 --> 01:04:51,520 Speaker 6: from the upper twenties into the mid thirties and have 1441 01:04:51,560 --> 01:04:52,000 Speaker 6: a nice. 1442 01:04:51,840 --> 01:04:53,800 Speaker 3: Retre So even the warnings that are seemed to be 1443 01:04:53,800 --> 01:04:57,040 Speaker 3: coming from officials, we did a Bloomberg exclusive story talking 1444 01:04:57,080 --> 01:04:59,520 Speaker 3: about the fetishing a sluugh of private warnings and that 1445 01:04:59,560 --> 01:05:02,720 Speaker 3: included citizens financially, you're not worried about some repercussions from that. 1446 01:05:02,840 --> 01:05:05,320 Speaker 6: We're worried about everything, but we think that their high 1447 01:05:05,400 --> 01:05:07,720 Speaker 6: quality underwriters and that their lum book is going to 1448 01:05:07,760 --> 01:05:08,480 Speaker 6: hold up really well. 1449 01:05:08,520 --> 01:05:09,520 Speaker 2: So you're not worried that much. 1450 01:05:09,800 --> 01:05:13,760 Speaker 4: Have we worried about everything? But it's fist in twenty seven. 1451 01:05:13,880 --> 01:05:17,120 Speaker 2: All right, listen, enjoy the open. You know your daughters 1452 01:05:17,160 --> 01:05:19,000 Speaker 2: here as well, so have fun with her. 1453 01:05:19,120 --> 01:05:19,720 Speaker 4: Thank you so much. 1454 01:05:19,760 --> 01:05:21,560 Speaker 2: You enjoy the match. Any calls you want to make. 1455 01:05:21,720 --> 01:05:22,320 Speaker 2: Who are you watching? 1456 01:05:22,720 --> 01:05:24,200 Speaker 6: You know? I have to tell you as it walked 1457 01:05:24,240 --> 01:05:27,560 Speaker 6: in fifty years of equal pay in women's tennis, that 1458 01:05:27,640 --> 01:05:29,800 Speaker 6: made us feel so good. As with my daughter, I said, 1459 01:05:29,840 --> 01:05:32,280 Speaker 6: it wasn't always this way. These things are different and 1460 01:05:32,320 --> 01:05:32,800 Speaker 6: they're better. 1461 01:05:32,960 --> 01:05:34,720 Speaker 2: I love that. David Dan, thank you so much. Be 1462 01:05:34,880 --> 01:05:36,040 Speaker 2: back Private Wealth Management. 1463 01:05:36,560 --> 01:05:41,200 Speaker 1: This is the Bloomberg Business Week podcast of a Little Apple, Spotify, 1464 01:05:41,320 --> 01:05:44,560 Speaker 1: and anywhere else you can get your podcast. Listen live 1465 01:05:44,640 --> 01:05:48,720 Speaker 1: weekday afternoons from three to six Eastern on Bloomberg dot com, 1466 01:05:48,760 --> 01:05:52,040 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business App. 1467 01:05:52,120 --> 01:05:55,200 Speaker 1: You can also watch us live every weekday on YouTube 1468 01:05:55,280 --> 01:05:59,280 Speaker 1: and always on the Bloomberg terminal alone